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|
/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *
* Copyright by The HDF Group. *
* All rights reserved. *
* *
* This file is part of HDF5. The full HDF5 copyright notice, including *
* terms governing use, modification, and redistribution, is contained in *
* the files COPYING and Copyright.html. COPYING can be found at the root *
* of the source code distribution tree; Copyright.html can be found at the *
* root level of an installed copy of the electronic HDF5 document set and *
* is linked from the top-level documents page. It can also be found at *
* http://hdfgroup.org/HDF5/doc/Copyright.html. If you do not have *
* access to either file, you may request a copy from help@hdfgroup.org. *
* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */
/*
This program will test independant and collective reads and writes between
selections of different rank that non-the-less are deemed as having the
same shape by H5Sselect_shape_same().
*/
#define H5S_PACKAGE /*suppress error about including H5Spkg */
/* Define this macro to indicate that the testing APIs should be available */
#define H5S_TESTING
#include "hdf5.h"
#include "H5private.h"
#include "testphdf5.h"
#include "H5Spkg.h" /* Dataspaces */
/* The following macros are used in the detection of tests that run overlong --
* so that tests can be ommitted if necessary to get the overall set of tests
* to complete.
*
* Observe that we can't do this if we don't have gettimeofday(), so in that
* case, the macros resolve to the empty string.
*/
#ifdef H5_HAVE_GETTIMEOFDAY
#define START_TIMER(time_tests, start_time, vrfy_msg) \
{ \
int result; \
if ( time_tests ) { \
result = HDgettimeofday(&(start_time), NULL); \
VRFY( (result == 0), (vrfy_msg)); \
} \
}
#define STOP_TIMER_AND_UPDATE(time_tests, end_time, vrfy_msg, times) \
{ \
int result; \
long long delta_usecs; \
if ( time_tests ) { \
result = HDgettimeofday(&(end_time), NULL); \
VRFY( (result == 0), (vrfy_msg)); \
delta_usecs = \
(1000000 * (timeval_b.tv_sec - timeval_a.tv_sec)) + \
(timeval_b.tv_usec - timeval_a.tv_usec); \
HDassert( delta_usecs >= 0L ); \
(times) += delta_usecs; \
} \
}
#else /* H5_HAVE_GETTIMEOFDAY */
#define START_TIMER(time_tests, start_time, vrfy_msg)
#define STOP_TIMER_AND_UPDATE(time_tests, end_time, vrfy_msg, times)
#endif /* H5_HAVE_GETTIMEOFDAY */
/* On Lustre (and perhaps other parallel file systems?), we have severe
* slow downs if two or more processes attempt to access the same file system
* block. To minimize this problem, we set alignment in the shape same tests
* to the default Lustre block size -- which greatly reduces contention in
* the chunked dataset case.
*/
#define SHAPE_SAME_TEST_ALIGNMENT ((hsize_t)(4 * 1024 * 1024))
/*-------------------------------------------------------------------------
* Function: contig_hyperslab_dr_pio_test__run_test()
*
* Purpose: Test I/O to/from hyperslab selections of different rank in
* the parallel.
*
* Return: void
*
* Programmer: JRM -- 9/18/09
*
* Modifications:
*
* JRM -- 9/16/10
* Added express_test parameter. Use it to control whether
* we set up the chunks so that no chunk is shared between
* processes, and also whether we set an alignment when we
* create the test file.
*
*-------------------------------------------------------------------------
*/
#define PAR_SS_DR_MAX_RANK 5
#define CONTIG_HYPERSLAB_DR_PIO_TEST__RUN_TEST__DEBUG 0
static void
contig_hyperslab_dr_pio_test__run_test(const int test_num,
const int edge_size,
const int chunk_edge_size,
const int small_rank,
const int large_rank,
const hbool_t use_collective_io,
const hid_t dset_type,
const int express_test)
{
#if CONTIG_HYPERSLAB_DR_PIO_TEST__RUN_TEST__DEBUG
const char *fcnName = "contig_hyperslab_dr_pio_test__run_test()";
#endif /* CONTIG_HYPERSLAB_DR_PIO_TEST__RUN_TEST__DEBUG */
const char *filename;
hbool_t use_gpfs = FALSE; /* Use GPFS hints */
hbool_t mis_match = FALSE;
int i, j, k, l, n;
int mrc;
int mpi_size = -1;
int mpi_rank = -1;
int start_index;
int stop_index;
const int test_max_rank = 5; /* must update code if this changes */
uint32_t expected_value;
uint32_t * small_ds_buf_0 = NULL;
uint32_t * small_ds_buf_1 = NULL;
uint32_t * small_ds_buf_2 = NULL;
uint32_t * small_ds_slice_buf = NULL;
uint32_t * large_ds_buf_0 = NULL;
uint32_t * large_ds_buf_1 = NULL;
uint32_t * large_ds_buf_2 = NULL;
uint32_t * large_ds_slice_buf = NULL;
uint32_t * ptr_0;
uint32_t * ptr_1;
uint32_t * ptr_2;
MPI_Comm mpi_comm = MPI_COMM_NULL;
MPI_Info mpi_info = MPI_INFO_NULL;
hid_t fid; /* HDF5 file ID */
hid_t acc_tpl; /* File access templates */
hid_t xfer_plist = H5P_DEFAULT;
hid_t full_mem_small_ds_sid;
hid_t full_file_small_ds_sid;
hid_t mem_small_ds_sid;
hid_t file_small_ds_sid;
hid_t small_ds_slice_sid;
hid_t full_mem_large_ds_sid;
hid_t full_file_large_ds_sid;
hid_t mem_large_ds_sid;
hid_t file_large_ds_sid;
hid_t file_large_ds_process_slice_sid;
hid_t mem_large_ds_process_slice_sid;
hid_t large_ds_slice_sid;
hid_t small_ds_dcpl_id = H5P_DEFAULT;
hid_t large_ds_dcpl_id = H5P_DEFAULT;
hid_t small_dataset; /* Dataset ID */
hid_t large_dataset; /* Dataset ID */
size_t small_ds_size = 1;
size_t small_ds_slice_size = 1;
size_t large_ds_size = 1;
size_t large_ds_slice_size = 1;
hsize_t dims[PAR_SS_DR_MAX_RANK];
hsize_t chunk_dims[PAR_SS_DR_MAX_RANK];
hsize_t start[PAR_SS_DR_MAX_RANK];
hsize_t stride[PAR_SS_DR_MAX_RANK];
hsize_t count[PAR_SS_DR_MAX_RANK];
hsize_t block[PAR_SS_DR_MAX_RANK];
hsize_t * start_ptr = NULL;
hsize_t * stride_ptr = NULL;
hsize_t * count_ptr = NULL;
hsize_t * block_ptr = NULL;
htri_t check; /* Shape comparison return value */
herr_t ret; /* Generic return value */
HDassert( edge_size >= 6 );
HDassert( edge_size >= chunk_edge_size );
HDassert( ( chunk_edge_size == 0 ) || ( chunk_edge_size >= 3 ) );
HDassert( 1 < small_rank );
HDassert( small_rank < large_rank );
HDassert( large_rank <= test_max_rank );
HDassert( test_max_rank <= PAR_SS_DR_MAX_RANK );
MPI_Comm_size(MPI_COMM_WORLD, &mpi_size);
MPI_Comm_rank(MPI_COMM_WORLD, &mpi_rank);
HDassert( mpi_size >= 1 );
mpi_comm = MPI_COMM_WORLD;
mpi_info = MPI_INFO_NULL;
for ( i = 0; i < small_rank - 1; i++ )
{
small_ds_size *= (size_t)edge_size;
small_ds_slice_size *= (size_t)edge_size;
}
small_ds_size *= (size_t)(mpi_size + 1);
for ( i = 0; i < large_rank - 1; i++ ) {
large_ds_size *= (size_t)edge_size;
large_ds_slice_size *= (size_t)edge_size;
}
large_ds_size *= (size_t)(mpi_size + 1);
/* set up the start, stride, count, and block pointers */
start_ptr = &(start[PAR_SS_DR_MAX_RANK - large_rank]);
stride_ptr = &(stride[PAR_SS_DR_MAX_RANK - large_rank]);
count_ptr = &(count[PAR_SS_DR_MAX_RANK - large_rank]);
block_ptr = &(block[PAR_SS_DR_MAX_RANK - large_rank]);
/* Allocate buffers */
small_ds_buf_0 = (uint32_t *)HDmalloc(sizeof(uint32_t) * small_ds_size);
VRFY((small_ds_buf_0 != NULL), "malloc of small_ds_buf_0 succeeded");
small_ds_buf_1 = (uint32_t *)HDmalloc(sizeof(uint32_t) * small_ds_size);
VRFY((small_ds_buf_1 != NULL), "malloc of small_ds_buf_1 succeeded");
small_ds_buf_2 = (uint32_t *)HDmalloc(sizeof(uint32_t) * small_ds_size);
VRFY((small_ds_buf_2 != NULL), "malloc of small_ds_buf_2 succeeded");
small_ds_slice_buf =
(uint32_t *)HDmalloc(sizeof(uint32_t) * small_ds_slice_size);
VRFY((small_ds_slice_buf != NULL), "malloc of small_ds_slice_buf succeeded");
large_ds_buf_0 = (uint32_t *)HDmalloc(sizeof(uint32_t) * large_ds_size);
VRFY((large_ds_buf_0 != NULL), "malloc of large_ds_buf_0 succeeded");
large_ds_buf_1 = (uint32_t *)HDmalloc(sizeof(uint32_t) * large_ds_size);
VRFY((large_ds_buf_1 != NULL), "malloc of large_ds_buf_1 succeeded");
large_ds_buf_2 = (uint32_t *)HDmalloc(sizeof(uint32_t) * large_ds_size);
VRFY((large_ds_buf_2 != NULL), "malloc of large_ds_buf_2 succeeded");
large_ds_slice_buf =
(uint32_t *)HDmalloc(sizeof(uint32_t) * large_ds_slice_size);
VRFY((large_ds_slice_buf != NULL), "malloc of large_ds_slice_buf succeeded");
/* initialize the buffers */
ptr_0 = small_ds_buf_0;
for(i = 0; i < (int)small_ds_size; i++)
*ptr_0++ = (uint32_t)i;
HDmemset(small_ds_buf_1, 0, sizeof(uint32_t) * small_ds_size);
HDmemset(small_ds_buf_2, 0, sizeof(uint32_t) * small_ds_size);
HDmemset(small_ds_slice_buf, 0, sizeof(uint32_t) * small_ds_slice_size);
ptr_0 = large_ds_buf_0;
for(i = 0; i < (int)large_ds_size; i++)
*ptr_0++ = (uint32_t)i;
HDmemset(large_ds_buf_1, 0, sizeof(uint32_t) * large_ds_size);
HDmemset(large_ds_buf_2, 0, sizeof(uint32_t) * large_ds_size);
HDmemset(large_ds_slice_buf, 0, sizeof(uint32_t) * large_ds_slice_size);
filename = (const char *)GetTestParameters();
HDassert( filename != NULL );
#if CONTIG_HYPERSLAB_DR_PIO_TEST__RUN_TEST__DEBUG
if ( MAINPROCESS ) {
HDfprintf(stdout, "%d: test num = %d.\n", mpi_rank, test_num);
HDfprintf(stdout, "%d: mpi_size = %d.\n", mpi_rank, mpi_size);
HDfprintf(stdout,
"%d: small/large rank = %d/%d, use_collective_io = %d.\n",
mpi_rank, small_rank, large_rank, (int)use_collective_io);
HDfprintf(stdout, "%d: edge_size = %d, chunk_edge_size = %d.\n",
mpi_rank, edge_size, chunk_edge_size);
HDfprintf(stdout, "%d: small_ds_size = %d, large_ds_size = %d.\n",
mpi_rank, (int)small_ds_size, (int)large_ds_size);
HDfprintf(stdout, "%d: filename = %s.\n", mpi_rank, filename);
}
#endif
/* ----------------------------------------
* CREATE AN HDF5 FILE WITH PARALLEL ACCESS
* ---------------------------------------*/
/* setup file access template */
acc_tpl = create_faccess_plist(mpi_comm, mpi_info, facc_type, use_gpfs);
VRFY((acc_tpl >= 0), "create_faccess_plist() succeeded");
/* set the alignment -- need it large so that we aren't always hitting the
* the same file system block. Do this only if express_test is greater
* than zero.
*/
if ( express_test > 0 ) {
ret = H5Pset_alignment(acc_tpl, (hsize_t)0, SHAPE_SAME_TEST_ALIGNMENT);
VRFY((ret != FAIL), "H5Pset_alignment() succeeded");
}
/* create the file collectively */
fid = H5Fcreate(filename, H5F_ACC_TRUNC, H5P_DEFAULT, acc_tpl);
VRFY((fid >= 0), "H5Fcreate succeeded");
MESG("File opened.");
/* Release file-access template */
ret = H5Pclose(acc_tpl);
VRFY((ret >= 0), "H5Pclose(acc_tpl) succeeded");
/* setup dims: */
dims[0] = (int)(mpi_size + 1);
dims[1] = dims[2] = dims[3] = dims[4] = edge_size;
/* Create small ds dataspaces */
full_mem_small_ds_sid = H5Screate_simple(small_rank, dims, NULL);
VRFY((full_mem_small_ds_sid != 0),
"H5Screate_simple() full_mem_small_ds_sid succeeded");
full_file_small_ds_sid = H5Screate_simple(small_rank, dims, NULL);
VRFY((full_file_small_ds_sid != 0),
"H5Screate_simple() full_file_small_ds_sid succeeded");
mem_small_ds_sid = H5Screate_simple(small_rank, dims, NULL);
VRFY((mem_small_ds_sid != 0),
"H5Screate_simple() mem_small_ds_sid succeeded");
file_small_ds_sid = H5Screate_simple(small_rank, dims, NULL);
VRFY((file_small_ds_sid != 0),
"H5Screate_simple() file_small_ds_sid succeeded");
small_ds_slice_sid = H5Screate_simple(small_rank - 1, &(dims[1]), NULL);
VRFY((small_ds_slice_sid != 0),
"H5Screate_simple() small_ds_slice_sid succeeded");
/* Create large ds dataspaces */
full_mem_large_ds_sid = H5Screate_simple(large_rank, dims, NULL);
VRFY((full_mem_large_ds_sid != 0),
"H5Screate_simple() full_mem_large_ds_sid succeeded");
full_file_large_ds_sid = H5Screate_simple(large_rank, dims, NULL);
VRFY((full_file_large_ds_sid != FAIL),
"H5Screate_simple() full_file_large_ds_sid succeeded");
mem_large_ds_sid = H5Screate_simple(large_rank, dims, NULL);
VRFY((mem_large_ds_sid != FAIL),
"H5Screate_simple() mem_large_ds_sid succeeded");
file_large_ds_sid = H5Screate_simple(large_rank, dims, NULL);
VRFY((file_large_ds_sid != FAIL),
"H5Screate_simple() file_large_ds_sid succeeded");
mem_large_ds_process_slice_sid = H5Screate_simple(large_rank, dims, NULL);
VRFY((mem_large_ds_process_slice_sid != FAIL),
"H5Screate_simple() mem_large_ds_process_slice_sid succeeded");
file_large_ds_process_slice_sid = H5Screate_simple(large_rank, dims, NULL);
VRFY((file_large_ds_process_slice_sid != FAIL),
"H5Screate_simple() file_large_ds_process_slice_sid succeeded");
large_ds_slice_sid = H5Screate_simple(large_rank - 1, &(dims[1]), NULL);
VRFY((large_ds_slice_sid != 0),
"H5Screate_simple() large_ds_slice_sid succeeded");
/* if chunk edge size is greater than zero, set up the small and
* large data set creation property lists to specify chunked
* datasets.
*/
if ( chunk_edge_size > 0 ) {
/* Under Lustre (and perhaps other parallel file systems?) we get
* locking delays when two or more processes attempt to access the
* same file system block.
*
* To minimize this problem, I have changed chunk_dims[0]
* from (mpi_size + 1) to just when any sort of express test is
* selected. Given the structure of the test, and assuming we
* set the alignment large enough, this avoids the contention
* issue by seeing to it that each chunk is only accessed by one
* process.
*
* One can argue as to whether this is a good thing to do in our
* tests, but for now it is necessary if we want the test to complete
* in a reasonable amount of time.
*
* JRM -- 9/16/10
*/
if ( express_test == 0 ) {
chunk_dims[0] = 1;
} else {
chunk_dims[0] = 1;
}
chunk_dims[1] = chunk_dims[2] =
chunk_dims[3] = chunk_dims[4] = chunk_edge_size;
small_ds_dcpl_id = H5Pcreate(H5P_DATASET_CREATE);
VRFY((ret != FAIL), "H5Pcreate() small_ds_dcpl_id succeeded");
ret = H5Pset_layout(small_ds_dcpl_id, H5D_CHUNKED);
VRFY((ret != FAIL), "H5Pset_layout() small_ds_dcpl_id succeeded");
ret = H5Pset_chunk(small_ds_dcpl_id, small_rank, chunk_dims);
VRFY((ret != FAIL), "H5Pset_chunk() small_ds_dcpl_id succeeded");
large_ds_dcpl_id = H5Pcreate(H5P_DATASET_CREATE);
VRFY((ret != FAIL), "H5Pcreate() large_ds_dcpl_id succeeded");
ret = H5Pset_layout(large_ds_dcpl_id, H5D_CHUNKED);
VRFY((ret != FAIL), "H5Pset_layout() large_ds_dcpl_id succeeded");
ret = H5Pset_chunk(large_ds_dcpl_id, large_rank, chunk_dims);
VRFY((ret != FAIL), "H5Pset_chunk() large_ds_dcpl_id succeeded");
}
/* create the small dataset */
small_dataset = H5Dcreate2(fid, "small_dataset", dset_type,
file_small_ds_sid, H5P_DEFAULT,
small_ds_dcpl_id, H5P_DEFAULT);
VRFY((ret != FAIL), "H5Dcreate2() small_dataset succeeded");
/* create the large dataset */
large_dataset = H5Dcreate2(fid, "large_dataset", dset_type,
file_large_ds_sid, H5P_DEFAULT,
large_ds_dcpl_id, H5P_DEFAULT);
VRFY((ret != FAIL), "H5Dcreate2() large_dataset succeeded");
/* setup xfer property list */
xfer_plist = H5Pcreate(H5P_DATASET_XFER);
VRFY((xfer_plist >= 0), "H5Pcreate(H5P_DATASET_XFER) succeeded");
if(use_collective_io) {
ret = H5Pset_dxpl_mpio(xfer_plist, H5FD_MPIO_COLLECTIVE);
VRFY((ret >= 0), "H5Pset_dxpl_mpio succeeded");
}
/* setup selection to write initial data to the small and large data sets */
start[0] = mpi_rank;
stride[0] = 2 * (mpi_size + 1);
count[0] = 1;
block[0] = 1;
for ( i = 1; i < large_rank; i++ ) {
start[i] = 0;
stride[i] = 2 * edge_size;
count[i] = 1;
block[i] = edge_size;
}
/* setup selections for writing initial data to the small data set */
ret = H5Sselect_hyperslab(mem_small_ds_sid,
H5S_SELECT_SET,
start,
stride,
count,
block);
VRFY((ret >= 0), "H5Sselect_hyperslab(mem_small_ds_sid, set) suceeded");
ret = H5Sselect_hyperslab(file_small_ds_sid,
H5S_SELECT_SET,
start,
stride,
count,
block);
VRFY((ret >= 0), "H5Sselect_hyperslab(file_small_ds_sid, set) suceeded");
if ( MAINPROCESS ) { /* add an additional slice to the selections */
start[0] = mpi_size;
ret = H5Sselect_hyperslab(mem_small_ds_sid,
H5S_SELECT_OR,
start,
stride,
count,
block);
VRFY((ret>= 0), "H5Sselect_hyperslab(mem_small_ds_sid, or) suceeded");
ret = H5Sselect_hyperslab(file_small_ds_sid,
H5S_SELECT_OR,
start,
stride,
count,
block);
VRFY((ret>= 0), "H5Sselect_hyperslab(file_small_ds_sid, or) suceeded");
}
/* write the initial value of the small data set to file */
ret = H5Dwrite(small_dataset, dset_type, mem_small_ds_sid, file_small_ds_sid,
xfer_plist, small_ds_buf_0);
VRFY((ret >= 0), "H5Dwrite() small_dataset initial write succeeded");
/* sync with the other processes before checking data */
if ( ! use_collective_io ) {
mrc = MPI_Barrier(MPI_COMM_WORLD);
VRFY((mrc==MPI_SUCCESS), "Sync after small dataset writes");
}
/* read the small data set back to verify that it contains the
* expected data. Note that each process reads in the entire
* data set.
*/
ret = H5Dread(small_dataset,
H5T_NATIVE_UINT32,
full_mem_small_ds_sid,
full_file_small_ds_sid,
xfer_plist,
small_ds_buf_1);
VRFY((ret >= 0), "H5Dread() small_dataset initial read succeeded");
/* verify that the correct data was written to the small data set */
expected_value = 0;
mis_match = FALSE;
ptr_1 = small_ds_buf_1;
i = 0;
for ( i = 0; i < (int)small_ds_size; i++ ) {
if ( *ptr_1 != expected_value ) {
mis_match = TRUE;
}
ptr_1++;
expected_value++;
}
VRFY( (mis_match == FALSE), "small ds init data good.");
/* setup selections for writing initial data to the large data set */
start[0] = mpi_rank;
ret = H5Sselect_hyperslab(mem_large_ds_sid,
H5S_SELECT_SET,
start,
stride,
count,
block);
VRFY((ret >= 0), "H5Sselect_hyperslab(mem_large_ds_sid, set) suceeded");
ret = H5Sselect_hyperslab(file_large_ds_sid,
H5S_SELECT_SET,
start,
stride,
count,
block);
VRFY((ret >= 0), "H5Sselect_hyperslab(file_large_ds_sid, set) suceeded");
/* In passing, setup the process slice data spaces as well */
ret = H5Sselect_hyperslab(mem_large_ds_process_slice_sid,
H5S_SELECT_SET,
start,
stride,
count,
block);
VRFY((ret >= 0),
"H5Sselect_hyperslab(mem_large_ds_process_slice_sid, set) suceeded");
ret = H5Sselect_hyperslab(file_large_ds_process_slice_sid,
H5S_SELECT_SET,
start,
stride,
count,
block);
VRFY((ret >= 0),
"H5Sselect_hyperslab(file_large_ds_process_slice_sid, set) suceeded");
if ( MAINPROCESS ) { /* add an additional slice to the selections */
start[0] = mpi_size;
ret = H5Sselect_hyperslab(mem_large_ds_sid,
H5S_SELECT_OR,
start,
stride,
count,
block);
VRFY((ret>= 0), "H5Sselect_hyperslab(mem_large_ds_sid, or) suceeded");
ret = H5Sselect_hyperslab(file_large_ds_sid,
H5S_SELECT_OR,
start,
stride,
count,
block);
VRFY((ret>= 0), "H5Sselect_hyperslab(file_large_ds_sid, or) suceeded");
}
/* write the initial value of the large data set to file */
ret = H5Dwrite(large_dataset, dset_type, mem_large_ds_sid, file_large_ds_sid,
xfer_plist, large_ds_buf_0);
if ( ret < 0 ) H5Eprint2(H5E_DEFAULT, stderr);
VRFY((ret >= 0), "H5Dwrite() large_dataset initial write succeeded");
/* sync with the other processes before checking data */
if ( ! use_collective_io ) {
mrc = MPI_Barrier(MPI_COMM_WORLD);
VRFY((mrc==MPI_SUCCESS), "Sync after large dataset writes");
}
/* read the small data set back to verify that it contains the
* expected data. Note that each process reads in the entire
* data set.
*/
ret = H5Dread(large_dataset,
H5T_NATIVE_UINT32,
full_mem_large_ds_sid,
full_file_large_ds_sid,
xfer_plist,
large_ds_buf_1);
VRFY((ret >= 0), "H5Dread() large_dataset initial read succeeded");
/* verify that the correct data was written to the large data set */
expected_value = 0;
mis_match = FALSE;
ptr_1 = large_ds_buf_1;
i = 0;
for ( i = 0; i < (int)large_ds_size; i++ ) {
if ( *ptr_1 != expected_value ) {
mis_match = TRUE;
}
ptr_1++;
expected_value++;
}
VRFY( (mis_match == FALSE), "large ds init data good.");
/* sync with the other processes before changing data */
if ( ! use_collective_io ) {
mrc = MPI_Barrier(MPI_COMM_WORLD);
VRFY((mrc==MPI_SUCCESS), "Sync initial values check");
}
/* first, verify that we can read from disk correctly using selections
* of different rank that H5S_select_shape_same() views as being of the
* same shape.
*
* Start by reading small_rank-D - 1 slice from the on disk large cube,
* and verifying that the data read is correct. Verify that
* H5S_select_shape_same() returns true on the memory and file selections.
*/
/* We have already done a H5Sselect_all() on the data space
* small_ds_slice_sid, so no need to call H5Sselect_all() again.
*/
/* set up start, stride, count, and block -- note that we will
* change start[] so as to read slices of the large cube.
*/
for ( i = 0; i < PAR_SS_DR_MAX_RANK; i++ ) {
start[i] = 0;
stride[i] = 2 * edge_size;
count[i] = 1;
if ( (PAR_SS_DR_MAX_RANK - i) > (small_rank - 1) ) {
block[i] = 1;
} else {
block[i] = edge_size;
}
}
/* zero out the buffer we will be reading into */
HDmemset(small_ds_slice_buf, 0, sizeof(uint32_t) * small_ds_slice_size);
#if CONTIG_HYPERSLAB_DR_PIO_TEST__RUN_TEST__DEBUG
HDfprintf(stdout,
"%s reading slices from big cube on disk into small cube slice.\n",
fcnName);
#endif
/* in serial versions of this test, we loop through all the dimensions
* of the large data set. However, in the parallel version, each
* process only works with that slice of the large cube indicated
* by its rank -- hence we set the most slowly changing index to
* mpi_rank, and don't itterate over it.
*/
if ( PAR_SS_DR_MAX_RANK - large_rank == 0 ) {
i = mpi_rank;
} else {
i = 0;
}
/* since large_rank is at most PAR_SS_DR_MAX_RANK, no need to
* loop over it -- either we are setting i to mpi_rank, or
* we are setting it to zero. It will not change during the
* test.
*/
if ( PAR_SS_DR_MAX_RANK - large_rank == 1 ) {
j = mpi_rank;
} else {
j = 0;
}
do {
if ( PAR_SS_DR_MAX_RANK - large_rank == 2 ) {
k = mpi_rank;
} else {
k = 0;
}
do {
/* since small rank >= 2 and large_rank > small_rank, we
* have large_rank >= 3. Since PAR_SS_DR_MAX_RANK == 5
* (baring major re-orgaization), this gives us:
*
* (PAR_SS_DR_MAX_RANK - large_rank) <= 2
*
* so no need to repeat the test in the outer loops --
* just set l = 0.
*/
l = 0;
do {
/* we know that small_rank - 1 >= 1 and that
* large_rank > small_rank by the assertions at the head
* of this function. Thus no need for another inner loop.
*/
start[0] = i;
start[1] = j;
start[2] = k;
start[3] = l;
start[4] = 0;
ret = H5Sselect_hyperslab(file_large_ds_sid,
H5S_SELECT_SET,
start_ptr,
stride_ptr,
count_ptr,
block_ptr);
VRFY((ret != FAIL),
"H5Sselect_hyperslab(file_large_cube_sid) succeeded");
/* verify that H5S_select_shape_same() reports the two
* selections as having the same shape.
*/
check = H5S_select_shape_same_test(small_ds_slice_sid,
file_large_ds_sid);
VRFY((check == TRUE), "H5S_select_shape_same_test passed");
/* Read selection from disk */
#if CONTIG_HYPERSLAB_DR_PIO_TEST__RUN_TEST__DEBUG
HDfprintf(stdout, "%s:%d: start = %d %d %d %d %d.\n",
fcnName, (int)mpi_rank,
(int)start[0], (int)start[1], (int)start[2],
(int)start[3], (int)start[4]);
HDfprintf(stdout, "%s slice/file extent dims = %d/%d.\n",
fcnName,
H5Sget_simple_extent_ndims(small_ds_slice_sid),
H5Sget_simple_extent_ndims(file_large_ds_sid));
#endif
ret = H5Dread(large_dataset,
H5T_NATIVE_UINT32,
small_ds_slice_sid,
file_large_ds_sid,
xfer_plist,
small_ds_slice_buf);
VRFY((ret >= 0), "H5Sread() slice from large ds succeeded.");
/* verify that expected data is retrieved */
mis_match = FALSE;
ptr_1 = small_ds_slice_buf;
expected_value =
(i * edge_size * edge_size * edge_size * edge_size) +
(j * edge_size * edge_size * edge_size) +
(k * edge_size * edge_size) +
(l * edge_size);
for ( n = 0; n < (int)small_ds_slice_size; n++ ) {
if ( *ptr_1 != expected_value ) {
mis_match = TRUE;
}
*ptr_1 = 0; /* zero data for next use */
ptr_1++;
expected_value++;
}
VRFY((mis_match == FALSE),
"small slice read from large ds data good.");
l++;
} while ( ( large_rank > 2 ) &&
( (small_rank - 1) <= 1 ) &&
( l < edge_size ) );
k++;
} while ( ( large_rank > 3 ) &&
( (small_rank - 1) <= 2 ) &&
( k < edge_size ) );
j++;
} while ( ( large_rank > 4 ) &&
( (small_rank - 1) <= 3 ) &&
( j < edge_size ) );
/* similarly, read slices of the on disk small data set into slices
* through the in memory large data set, and verify that the correct
* data (and only the correct data) is read.
*/
start[0] = mpi_rank;
stride[0] = 2 * (mpi_size + 1);
count[0] = 1;
block[0] = 1;
for ( i = 1; i < large_rank; i++ ) {
start[i] = 0;
stride[i] = 2 * edge_size;
count[i] = 1;
block[i] = edge_size;
}
ret = H5Sselect_hyperslab(file_small_ds_sid,
H5S_SELECT_SET,
start,
stride,
count,
block);
VRFY((ret >= 0), "H5Sselect_hyperslab(file_small_ds_sid, set) suceeded");
#if CONTIG_HYPERSLAB_DR_PIO_TEST__RUN_TEST__DEBUG
HDfprintf(stdout,
"%s reading slices of on disk small data set into slices of big data set.\n",
fcnName);
#endif
/* zero out the in memory large ds */
HDmemset(large_ds_buf_1, 0, sizeof(uint32_t) * large_ds_size);
/* set up start, stride, count, and block -- note that we will
* change start[] so as to read slices of the large cube.
*/
for ( i = 0; i < PAR_SS_DR_MAX_RANK; i++ ) {
start[i] = 0;
stride[i] = 2 * edge_size;
count[i] = 1;
if ( (PAR_SS_DR_MAX_RANK - i) > (small_rank - 1) ) {
block[i] = 1;
} else {
block[i] = edge_size;
}
}
/* in serial versions of this test, we loop through all the dimensions
* of the large data set that don't appear in the small data set.
*
* However, in the parallel version, each process only works with that
* slice of the large (and small) data set indicated by its rank -- hence
* we set the most slowly changing index to mpi_rank, and don't itterate
* over it.
*/
if ( PAR_SS_DR_MAX_RANK - large_rank == 0 ) {
i = mpi_rank;
} else {
i = 0;
}
/* since large_rank is at most PAR_SS_DR_MAX_RANK, no need to
* loop over it -- either we are setting i to mpi_rank, or
* we are setting it to zero. It will not change during the
* test.
*/
if ( PAR_SS_DR_MAX_RANK - large_rank == 1 ) {
j = mpi_rank;
} else {
j = 0;
}
do {
if ( PAR_SS_DR_MAX_RANK - large_rank == 2 ) {
k = mpi_rank;
} else {
k = 0;
}
do {
/* since small rank >= 2 and large_rank > small_rank, we
* have large_rank >= 3. Since PAR_SS_DR_MAX_RANK == 5
* (baring major re-orgaization), this gives us:
*
* (PAR_SS_DR_MAX_RANK - large_rank) <= 2
*
* so no need to repeat the test in the outer loops --
* just set l = 0.
*/
l = 0;
do {
/* we know that small_rank >= 1 and that large_rank > small_rank
* by the assertions at the head of this function. Thus no
* need for another inner loop.
*/
start[0] = i;
start[1] = j;
start[2] = k;
start[3] = l;
start[4] = 0;
ret = H5Sselect_hyperslab(mem_large_ds_sid,
H5S_SELECT_SET,
start_ptr,
stride_ptr,
count_ptr,
block_ptr);
VRFY((ret != FAIL),
"H5Sselect_hyperslab(mem_large_ds_sid) succeeded");
/* verify that H5S_select_shape_same() reports the two
* selections as having the same shape.
*/
check = H5S_select_shape_same_test(file_small_ds_sid,
mem_large_ds_sid);
VRFY((check == TRUE), "H5S_select_shape_same_test passed");
/* Read selection from disk */
#if CONTIG_HYPERSLAB_DR_PIO_TEST__RUN_TEST__DEBUG
HDfprintf(stdout, "%s:%d: start = %d %d %d %d %d.\n",
fcnName, (int)mpi_rank,
(int)start[0], (int)start[1], (int)start[2],
(int)start[3], (int)start[4]);
HDfprintf(stdout, "%s:%d: mem/file extent dims = %d/%d.\n",
fcnName, mpi_rank,
H5Sget_simple_extent_ndims(mem_large_ds_sid),
H5Sget_simple_extent_ndims(file_small_ds_sid));
#endif
ret = H5Dread(small_dataset,
H5T_NATIVE_UINT32,
mem_large_ds_sid,
file_small_ds_sid,
xfer_plist,
large_ds_buf_1);
VRFY((ret >= 0), "H5Sread() slice from small ds succeeded.");
/* verify that the expected data and only the
* expected data was read.
*/
ptr_1 = large_ds_buf_1;
expected_value = mpi_rank * small_ds_slice_size;
start_index =
(i * edge_size * edge_size * edge_size * edge_size) +
(j * edge_size * edge_size * edge_size) +
(k * edge_size * edge_size) +
(l * edge_size);
stop_index = start_index + (int)small_ds_slice_size - 1;
HDassert( 0 <= start_index );
HDassert( start_index < stop_index );
HDassert( stop_index <= (int)large_ds_size );
for ( n = 0; n < (int)large_ds_size; n++ ) {
if ( ( n >= start_index ) && ( n <= stop_index ) ) {
if ( *ptr_1 != expected_value ) {
mis_match = TRUE;
}
expected_value++;
} else {
if ( *ptr_1 != 0 ) {
mis_match = TRUE;
}
}
/* zero out the value for the next pass */
*ptr_1 = 0;
ptr_1++;
}
VRFY((mis_match == FALSE),
"small slice read from large ds data good.");
l++;
} while ( ( large_rank > 2 ) &&
( (small_rank - 1) <= 1 ) &&
( l < edge_size ) );
k++;
} while ( ( large_rank > 3 ) &&
( (small_rank - 1) <= 2 ) &&
( k < edge_size ) );
j++;
} while ( ( large_rank > 4 ) &&
( (small_rank - 1) <= 3 ) &&
( j < edge_size ) );
/* now we go in the opposite direction, verifying that we can write
* from memory to file using selections of different rank that
* H5S_select_shape_same() views as being of the same shape.
*
* Start by writing small_rank - 1 D slices from the in memory large data
* set to the on disk small cube dataset. After each write, read the
* slice of the small dataset back from disk, and verify that it contains
* the expected data. Verify that H5S_select_shape_same() returns true on
* the memory and file selections.
*/
start[0] = mpi_rank;
stride[0] = 2 * (mpi_size + 1);
count[0] = 1;
block[0] = 1;
for ( i = 1; i < large_rank; i++ ) {
start[i] = 0;
stride[i] = 2 * edge_size;
count[i] = 1;
block[i] = edge_size;
}
ret = H5Sselect_hyperslab(file_small_ds_sid,
H5S_SELECT_SET,
start,
stride,
count,
block);
VRFY((ret >= 0), "H5Sselect_hyperslab(file_small_ds_sid, set) suceeded");
ret = H5Sselect_hyperslab(mem_small_ds_sid,
H5S_SELECT_SET,
start,
stride,
count,
block);
VRFY((ret >= 0), "H5Sselect_hyperslab(mem_small_ds_sid, set) suceeded");
/* set up start, stride, count, and block -- note that we will
* change start[] so as to read slices of the large cube.
*/
for ( i = 0; i < PAR_SS_DR_MAX_RANK; i++ ) {
start[i] = 0;
stride[i] = 2 * edge_size;
count[i] = 1;
if ( (PAR_SS_DR_MAX_RANK - i) > (small_rank - 1) ) {
block[i] = 1;
} else {
block[i] = edge_size;
}
}
/* zero out the in memory small ds */
HDmemset(small_ds_buf_1, 0, sizeof(uint32_t) * small_ds_size);
#if CONTIG_HYPERSLAB_DR_PIO_TEST__RUN_TEST__DEBUG
HDfprintf(stdout,
"%s writing slices from big ds to slices of small ds on disk.\n",
fcnName);
#endif
/* in serial versions of this test, we loop through all the dimensions
* of the large data set that don't appear in the small data set.
*
* However, in the parallel version, each process only works with that
* slice of the large (and small) data set indicated by its rank -- hence
* we set the most slowly changing index to mpi_rank, and don't itterate
* over it.
*/
if ( PAR_SS_DR_MAX_RANK - large_rank == 0 ) {
i = mpi_rank;
} else {
i = 0;
}
/* since large_rank is at most PAR_SS_DR_MAX_RANK, no need to
* loop over it -- either we are setting i to mpi_rank, or
* we are setting it to zero. It will not change during the
* test.
*/
if ( PAR_SS_DR_MAX_RANK - large_rank == 1 ) {
j = mpi_rank;
} else {
j = 0;
}
j = 0;
do {
if ( PAR_SS_DR_MAX_RANK - large_rank == 2 ) {
k = mpi_rank;
} else {
k = 0;
}
do {
/* since small rank >= 2 and large_rank > small_rank, we
* have large_rank >= 3. Since PAR_SS_DR_MAX_RANK == 5
* (baring major re-orgaization), this gives us:
*
* (PAR_SS_DR_MAX_RANK - large_rank) <= 2
*
* so no need to repeat the test in the outer loops --
* just set l = 0.
*/
l = 0;
do {
/* we know that small_rank >= 1 and that large_rank > small_rank
* by the assertions at the head of this function. Thus no
* need for another inner loop.
*/
/* zero out this rank's slice of the on disk small data set */
ret = H5Dwrite(small_dataset,
H5T_NATIVE_UINT32,
mem_small_ds_sid,
file_small_ds_sid,
xfer_plist,
small_ds_buf_2);
VRFY((ret >= 0), "H5Dwrite() zero slice to small ds succeeded.");
/* select the portion of the in memory large cube from which we
* are going to write data.
*/
start[0] = i;
start[1] = j;
start[2] = k;
start[3] = l;
start[4] = 0;
ret = H5Sselect_hyperslab(mem_large_ds_sid,
H5S_SELECT_SET,
start_ptr,
stride_ptr,
count_ptr,
block_ptr);
VRFY((ret >= 0),
"H5Sselect_hyperslab() mem_large_ds_sid succeeded.");
/* verify that H5S_select_shape_same() reports the in
* memory slice through the cube selection and the
* on disk full square selections as having the same shape.
*/
check = H5S_select_shape_same_test(file_small_ds_sid,
mem_large_ds_sid);
VRFY((check == TRUE), "H5S_select_shape_same_test passed.");
/* write the slice from the in memory large data set to the
* slice of the on disk small dataset. */
#if CONTIG_HYPERSLAB_DR_PIO_TEST__RUN_TEST__DEBUG
HDfprintf(stdout, "%s:%d: start = %d %d %d %d %d.\n",
fcnName, (int)mpi_rank,
(int)start[0], (int)start[1], (int)start[2],
(int)start[3], (int)start[4]);
HDfprintf(stdout, "%s:%d: mem/file extent dims = %d/%d.\n",
fcnName, mpi_rank,
H5Sget_simple_extent_ndims(mem_large_ds_sid),
H5Sget_simple_extent_ndims(file_small_ds_sid));
#endif
ret = H5Dwrite(small_dataset,
H5T_NATIVE_UINT32,
mem_large_ds_sid,
file_small_ds_sid,
xfer_plist,
large_ds_buf_0);
VRFY((ret >= 0), "H5Dwrite() slice to large ds succeeded.");
/* read the on disk square into memory */
ret = H5Dread(small_dataset,
H5T_NATIVE_UINT32,
mem_small_ds_sid,
file_small_ds_sid,
xfer_plist,
small_ds_buf_1);
VRFY((ret >= 0), "H5Dread() slice from small ds succeeded.");
/* verify that expected data is retrieved */
mis_match = FALSE;
ptr_1 = small_ds_buf_1;
expected_value =
(i * edge_size * edge_size * edge_size * edge_size) +
(j * edge_size * edge_size * edge_size) +
(k * edge_size * edge_size) +
(l * edge_size);
start_index = mpi_rank * small_ds_slice_size;
stop_index = start_index + small_ds_slice_size - 1;
HDassert( 0 <= start_index );
HDassert( start_index < stop_index );
HDassert( stop_index <= (int)small_ds_size );
for ( n = 0; n < (int)small_ds_size; n++ ) {
if ( ( n >= start_index ) && ( n <= stop_index ) ) {
if ( *ptr_1 != expected_value ) {
mis_match = TRUE;
}
expected_value++;
} else {
if ( *ptr_1 != 0 ) {
mis_match = TRUE;
}
}
/* zero out the value for the next pass */
*ptr_1 = 0;
ptr_1++;
}
VRFY((mis_match == FALSE),
"small slice write from large ds data good.");
l++;
} while ( ( large_rank > 2 ) &&
( (small_rank - 1) <= 1 ) &&
( l < edge_size ) );
k++;
} while ( ( large_rank > 3 ) &&
( (small_rank - 1) <= 2 ) &&
( k < edge_size ) );
j++;
} while ( ( large_rank > 4 ) &&
( (small_rank - 1) <= 3 ) &&
( j < edge_size ) );
/* Now write the contents of the process's slice of the in memory
* small data set to slices of the on disk large data set. After
* each write, read the process's slice of the large data set back
* into memory, and verify that it contains the expected data.
* Verify that H5S_select_shape_same() returns true on the memory
* and file selections.
*/
/* select the slice of the in memory small data set associated with
* the process's mpi rank.
*/
start[0] = mpi_rank;
stride[0] = 2 * (mpi_size + 1);
count[0] = 1;
block[0] = 1;
for ( i = 1; i < large_rank; i++ ) {
start[i] = 0;
stride[i] = 2 * edge_size;
count[i] = 1;
block[i] = edge_size;
}
ret = H5Sselect_hyperslab(mem_small_ds_sid,
H5S_SELECT_SET,
start,
stride,
count,
block);
VRFY((ret >= 0), "H5Sselect_hyperslab(mem_small_ds_sid, set) suceeded");
/* set up start, stride, count, and block -- note that we will
* change start[] so as to write slices of the small data set to
* slices of the large data set.
*/
for ( i = 0; i < PAR_SS_DR_MAX_RANK; i++ ) {
start[i] = 0;
stride[i] = 2 * edge_size;
count[i] = 1;
if ( (PAR_SS_DR_MAX_RANK - i) > (small_rank - 1) ) {
block[i] = 1;
} else {
block[i] = edge_size;
}
}
/* zero out the in memory large ds */
HDmemset(large_ds_buf_1, 0, sizeof(uint32_t) * large_ds_size);
#if CONTIG_HYPERSLAB_DR_PIO_TEST__RUN_TEST__DEBUG
HDfprintf(stdout,
"%s writing process slices of small ds to slices of large ds on disk.\n",
fcnName);
#endif
if ( PAR_SS_DR_MAX_RANK - large_rank == 0 ) {
i = mpi_rank;
} else {
i = 0;
}
/* since large_rank is at most PAR_SS_DR_MAX_RANK, no need to
* loop over it -- either we are setting i to mpi_rank, or
* we are setting it to zero. It will not change during the
* test.
*/
if ( PAR_SS_DR_MAX_RANK - large_rank == 1 ) {
j = mpi_rank;
} else {
j = 0;
}
do {
if ( PAR_SS_DR_MAX_RANK - large_rank == 2 ) {
k = mpi_rank;
} else {
k = 0;
}
do {
/* since small rank >= 2 and large_rank > small_rank, we
* have large_rank >= 3. Since PAR_SS_DR_MAX_RANK == 5
* (baring major re-orgaization), this gives us:
*
* (PAR_SS_DR_MAX_RANK - large_rank) <= 2
*
* so no need to repeat the test in the outer loops --
* just set l = 0.
*/
l = 0;
do {
/* we know that small_rank >= 1 and that large_rank > small_rank
* by the assertions at the head of this function. Thus no
* need for another inner loop.
*/
/* Zero out this processes slice of the on disk large data set.
* Note that this will leave one slice with its original data
* as there is one more slice than processes.
*/
ret = H5Dwrite(large_dataset,
H5T_NATIVE_UINT32,
large_ds_slice_sid,
file_large_ds_process_slice_sid,
xfer_plist,
large_ds_buf_2);
VRFY((ret != FAIL), "H5Dwrite() to zero large ds suceeded");
/* select the portion of the in memory large cube to which we
* are going to write data.
*/
start[0] = i;
start[1] = j;
start[2] = k;
start[3] = l;
start[4] = 0;
ret = H5Sselect_hyperslab(file_large_ds_sid,
H5S_SELECT_SET,
start_ptr,
stride_ptr,
count_ptr,
block_ptr);
VRFY((ret != FAIL),
"H5Sselect_hyperslab() target large ds slice succeeded");
/* verify that H5S_select_shape_same() reports the in
* memory small data set slice selection and the
* on disk slice through the large data set selection
* as having the same shape.
*/
check = H5S_select_shape_same_test(mem_small_ds_sid,
file_large_ds_sid);
VRFY((check == TRUE), "H5S_select_shape_same_test passed");
/* write the small data set slice from memory to the
* target slice of the disk data set
*/
#if CONTIG_HYPERSLAB_DR_PIO_TEST__RUN_TEST__DEBUG
HDfprintf(stdout, "%s:%d: start = %d %d %d %d %d.\n",
fcnName, (int)mpi_rank,
(int)start[0], (int)start[1], (int)start[2],
(int)start[3], (int)start[4]);
HDfprintf(stdout, "%s:%d: mem/file extent dims = %d/%d.\n",
fcnName, mpi_rank,
H5Sget_simple_extent_ndims(mem_small_ds_sid),
H5Sget_simple_extent_ndims(file_large_ds_sid));
#endif
ret = H5Dwrite(large_dataset,
H5T_NATIVE_UINT32,
mem_small_ds_sid,
file_large_ds_sid,
xfer_plist,
small_ds_buf_0);
VRFY((ret != FAIL),
"H5Dwrite of small ds slice to large ds succeeded");
/* read this processes slice on the on disk large
* data set into memory.
*/
ret = H5Dread(large_dataset,
H5T_NATIVE_UINT32,
mem_large_ds_process_slice_sid,
file_large_ds_process_slice_sid,
xfer_plist,
large_ds_buf_1);
VRFY((ret != FAIL),
"H5Dread() of process slice of large ds succeeded");
/* verify that the expected data and only the
* expected data was read.
*/
ptr_1 = large_ds_buf_1;
expected_value = (uint32_t)(mpi_rank) * small_ds_slice_size;
start_index = (i * edge_size * edge_size * edge_size * edge_size) +
(j * edge_size * edge_size * edge_size) +
(k * edge_size * edge_size) +
(l * edge_size);
stop_index = start_index + (int)small_ds_slice_size - 1;
HDassert( 0 <= start_index );
HDassert( start_index < stop_index );
HDassert( stop_index < (int)large_ds_size );
for ( n = 0; n < (int)large_ds_size; n++ ) {
if ( ( n >= start_index ) && ( n <= stop_index ) ) {
if ( *ptr_1 != expected_value ) {
mis_match = TRUE;
}
expected_value++;
} else {
if ( *ptr_1 != 0 ) {
mis_match = TRUE;
}
}
/* zero out buffer for next test */
*ptr_1 = 0;
ptr_1++;
}
VRFY((mis_match == FALSE),
"small ds slice write to large ds slice data good.");
l++;
} while ( ( large_rank > 2 ) &&
( (small_rank - 1) <= 1 ) &&
( l < edge_size ) );
k++;
} while ( ( large_rank > 3 ) &&
( (small_rank - 1) <= 2 ) &&
( k < edge_size ) );
j++;
} while ( ( large_rank > 4 ) &&
( (small_rank - 1) <= 3 ) &&
( j < edge_size ) );
/* Close dataspaces */
ret = H5Sclose(full_mem_small_ds_sid);
VRFY((ret != FAIL), "H5Sclose(full_mem_small_ds_sid) succeeded");
ret = H5Sclose(full_file_small_ds_sid);
VRFY((ret != FAIL), "H5Sclose(full_file_small_ds_sid) succeeded");
ret = H5Sclose(mem_small_ds_sid);
VRFY((ret != FAIL), "H5Sclose(mem_small_ds_sid) succeeded");
ret = H5Sclose(file_small_ds_sid);
VRFY((ret != FAIL), "H5Sclose(file_small_ds_sid) succeeded");
ret = H5Sclose(small_ds_slice_sid);
VRFY((ret != FAIL), "H5Sclose(small_ds_slice_sid) succeeded");
ret = H5Sclose(full_mem_large_ds_sid);
VRFY((ret != FAIL), "H5Sclose(full_mem_large_ds_sid) succeeded");
ret = H5Sclose(full_file_large_ds_sid);
VRFY((ret != FAIL), "H5Sclose(full_file_large_ds_sid) succeeded");
ret = H5Sclose(mem_large_ds_sid);
VRFY((ret != FAIL), "H5Sclose(mem_large_ds_sid) succeeded");
ret = H5Sclose(file_large_ds_sid);
VRFY((ret != FAIL), "H5Sclose(mem_large_ds_sid) succeeded");
ret = H5Sclose(mem_large_ds_process_slice_sid);
VRFY((ret != FAIL), "H5Sclose(mem_large_ds_process_slice_sid) succeeded");
ret = H5Sclose(file_large_ds_process_slice_sid);
VRFY((ret != FAIL), "H5Sclose(file_large_ds_process_slice_sid) succeeded");
ret = H5Sclose(large_ds_slice_sid);
VRFY((ret != FAIL), "H5Sclose(large_ds_slice_sid) succeeded");
/* Close Datasets */
ret = H5Dclose(small_dataset);
VRFY((ret != FAIL), "H5Dclose(small_dataset) succeeded");
ret = H5Dclose(large_dataset);
VRFY((ret != FAIL), "H5Dclose(large_dataset) succeeded");
/* close the file collectively */
MESG("about to close file.");
ret = H5Fclose(fid);
VRFY((ret != FAIL), "file close succeeded");
/* Free memory buffers */
if ( small_ds_buf_0 != NULL ) HDfree(small_ds_buf_0);
if ( small_ds_buf_1 != NULL ) HDfree(small_ds_buf_1);
if ( small_ds_buf_2 != NULL ) HDfree(small_ds_buf_2);
if ( small_ds_slice_buf != NULL ) HDfree(small_ds_slice_buf);
if ( large_ds_buf_0 != NULL ) HDfree(large_ds_buf_0);
if ( large_ds_buf_1 != NULL ) HDfree(large_ds_buf_1);
if ( large_ds_buf_2 != NULL ) HDfree(large_ds_buf_2);
if ( large_ds_slice_buf != NULL ) HDfree(large_ds_slice_buf);
return;
} /* contig_hyperslab_dr_pio_test__run_test() */
/*-------------------------------------------------------------------------
* Function: contig_hyperslab_dr_pio_test(ShapeSameTestMethods sstest_type)
*
* Purpose: Test I/O to/from hyperslab selections of different rank in
* the parallel case.
*
* Return: void
*
* Programmer: JRM -- 9/18/09
*
* Modifications:
*
* Modified function to take a sample of the run times
* of the different tests, and skip some of them if
* run times are too long.
*
* We need to do this because Lustre runns very slowly
* if two or more processes are banging on the same
* block of memory.
* JRM -- 9/10/10
* Break this one big test into 4 smaller tests according
* to {independent,collective}x{contigous,chunked} datasets.
* AKC -- 2010/01/14
*
*-------------------------------------------------------------------------
*/
void
contig_hyperslab_dr_pio_test(ShapeSameTestMethods sstest_type)
{
int test_num = 0;
int edge_size = 10;
int chunk_edge_size = 0;
int small_rank;
int large_rank;
int skips[4] = {0, 0, 0, 0};
int skip_counters[4] = {0, 0, 0, 0};
int tests_skiped[4] = {0, 0, 0, 0};
int mpi_result;
hid_t dset_type = H5T_NATIVE_UINT;
#ifdef H5_HAVE_GETTIMEOFDAY
hbool_t time_tests = TRUE;
hbool_t display_skips = FALSE;
int local_express_test;
int express_test;
int i;
int samples = 0;
int sample_size = 1;
int mpi_size = -1;
int mpi_rank = -1;
int local_skips[4];
const int ind_contig_idx = 0;
const int col_contig_idx = 1;
const int ind_chunked_idx = 2;
const int col_chunked_idx = 3;
const int test_types = 4;
long long max_test_time = 3000000; /* for one test */
long long sample_times[4] = {0, 0, 0, 0};
struct timeval timeval_a;
struct timeval timeval_b;
#endif /* H5_HAVE_GETTIMEOFDAY */
HDcompile_assert(sizeof(uint32_t) == sizeof(unsigned));
local_express_test = GetTestExpress();
mpi_result = MPI_Allreduce((void *)&local_express_test,
(void *)&express_test,
1,
MPI_INT,
MPI_MAX,
MPI_COMM_WORLD);
VRFY((mpi_result == MPI_SUCCESS ), "MPI_Allreduce(0) succeeded");
for ( large_rank = 3; large_rank <= PAR_SS_DR_MAX_RANK; large_rank++ ) {
for ( small_rank = 2; small_rank < large_rank; small_rank++ ) {
switch(sstest_type){
case IND_CONTIG:
/* contiguous data set, independent I/O */
chunk_edge_size = 0;
if ( skip_counters[ind_contig_idx] < skips[ind_contig_idx] ) {
skip_counters[ind_contig_idx]++;
tests_skiped[ind_contig_idx]++;
} else {
skip_counters[ind_contig_idx] = 0;
START_TIMER(time_tests, timeval_a, "HDgettimeofday(0) succeeds.");
contig_hyperslab_dr_pio_test__run_test(test_num,
edge_size,
chunk_edge_size,
small_rank,
large_rank,
FALSE,
dset_type,
express_test);
STOP_TIMER_AND_UPDATE(time_tests, timeval_b, \
"HDgettimeofday(1) succeeds.", \
sample_times[col_contig_idx]);
}
test_num++;
break;
/* end of case IND_CONTIG */
case COL_CONTIG:
/* contiguous data set, collective I/O */
chunk_edge_size = 0;
if ( skip_counters[col_contig_idx] < skips[col_contig_idx] ) {
skip_counters[col_contig_idx]++;
tests_skiped[col_contig_idx]++;
} else {
skip_counters[col_contig_idx] = 0;
START_TIMER(time_tests, timeval_a, "HDgettimeofday(2) succeeds.");
contig_hyperslab_dr_pio_test__run_test(test_num,
edge_size,
chunk_edge_size,
small_rank,
large_rank,
TRUE,
dset_type,
express_test);
STOP_TIMER_AND_UPDATE(time_tests, timeval_b, \
"HDgettimeofday(3) succeeds.", \
sample_times[ind_contig_idx]);
}
test_num++;
break;
/* end of case COL_CONTIG */
case IND_CHUNKED:
/* chunked data set, independent I/O */
chunk_edge_size = 5;
if ( skip_counters[ind_chunked_idx] < skips[ind_chunked_idx] ) {
skip_counters[ind_chunked_idx]++;
tests_skiped[ind_chunked_idx]++;
} else {
skip_counters[ind_chunked_idx] = 0;
START_TIMER(time_tests, timeval_a, "HDgettimeofday(4) succeeds.");
contig_hyperslab_dr_pio_test__run_test(test_num,
edge_size,
chunk_edge_size,
small_rank,
large_rank,
FALSE,
dset_type,
express_test);
STOP_TIMER_AND_UPDATE(time_tests, timeval_b, \
"HDgettimeofday(5) succeeds.", \
sample_times[col_chunked_idx]);
}
test_num++;
break;
/* end of case IND_CHUNKED */
case COL_CHUNKED:
/* chunked data set, collective I/O */
chunk_edge_size = 5;
if ( skip_counters[col_chunked_idx] < skips[col_chunked_idx] ) {
skip_counters[col_chunked_idx]++;
tests_skiped[col_chunked_idx]++;
} else {
skip_counters[col_chunked_idx] = 0;
START_TIMER(time_tests, timeval_a, "HDgettimeofday(6) succeeds.");
contig_hyperslab_dr_pio_test__run_test(test_num,
edge_size,
chunk_edge_size,
small_rank,
large_rank,
TRUE,
dset_type,
express_test);
STOP_TIMER_AND_UPDATE(time_tests, timeval_b, \
"HDgettimeofday(7) succeeds.", \
sample_times[ind_chunked_idx]);
}
test_num++;
break;
/* end of case COL_CHUNKED */
} /* end of switch(sstest_type) */
#ifdef H5_HAVE_GETTIMEOFDAY
if ( time_tests ) {
samples++;
if ( samples >= sample_size ) {
int result;
time_tests = FALSE;
max_test_time = ((long long)sample_size) * max_test_time;
for ( i = 0; i < test_types; i++ ) {
if ( ( express_test == 0 ) ||
( sample_times[i] <= max_test_time ) ) {
local_skips[i] = 0;
} else {
local_skips[i] = (int)(sample_times[i] / max_test_time);
}
}
/* do an MPI_Allreduce() with the skips vector to ensure that
* all processes agree on its contents.
*/
result = MPI_Allreduce((void *)local_skips,
(void *)skips,
test_types,
MPI_INT,
MPI_MAX,
MPI_COMM_WORLD);
VRFY((result == MPI_SUCCESS ), \
"MPI_Allreduce(1) succeeded");
}
}
#endif /* H5_HAVE_GETTIMEOFDAY */
}
}
#ifdef H5_HAVE_GETTIMEOFDAY
if ( ( MAINPROCESS ) && ( display_skips ) ) {
HDfprintf(stdout, "***********************************\n");
HDfprintf(stdout, "express_test = %d.\n", express_test);
HDfprintf(stdout, "sample_size = %d, max_test_time = %lld.\n",
sample_size, max_test_time);
HDfprintf(stdout, "sample_times[] = %lld, %lld, %lld, %lld.\n",
sample_times[ind_contig_idx],
sample_times[col_contig_idx],
sample_times[ind_chunked_idx],
sample_times[col_chunked_idx]);
HDfprintf(stdout, "skips[] = %d, %d, %d, %d.\n",
skips[ind_contig_idx],
skips[col_contig_idx],
skips[ind_chunked_idx],
skips[col_chunked_idx]);
HDfprintf(stdout, "tests_skiped[] = %d, %d, %d, %d.\n",
tests_skiped[ind_contig_idx],
tests_skiped[col_contig_idx],
tests_skiped[ind_chunked_idx],
tests_skiped[col_chunked_idx]);
HDfprintf(stdout, "test_num = %d.\n", test_num);
HDfprintf(stdout, "***********************************\n");
}
#endif /* H5_HAVE_GETTIMEOFDAY */
return;
} /* contig_hyperslab_dr_pio_test() */
/****************************************************************
**
** checker_board_hyperslab_dr_pio_test__select_checker_board():
** Given a data space of tgt_rank, and dimensions:
**
** (mpi_size + 1), edge_size, ... , edge_size
**
** edge_size, and a checker_edge_size, select a checker
** board selection of a sel_rank (sel_rank < tgt_rank)
** dimensional slice through the data space parallel to the
** sel_rank fastest changing indicies, with origin (in the
** higher indicies) as indicated by the start array.
**
** Note that this function, like all its relatives, is
** hard coded to presume a maximum data space rank of 5.
** While this maximum is declared as a constant, increasing
** it will require extensive coding in addition to changing
** the value of the constant.
**
** JRM -- 10/8/09
**
****************************************************************/
#define CHECKER_BOARD_HYPERSLAB_DR_PIO_TEST__SELECT_CHECKER_BOARD__DEBUG 0
static void
checker_board_hyperslab_dr_pio_test__select_checker_board(
const int mpi_rank,
const hid_t tgt_sid,
const int tgt_rank,
const int edge_size,
const int checker_edge_size,
const int sel_rank,
hsize_t sel_start[])
{
#if CHECKER_BOARD_HYPERSLAB_DR_PIO_TEST__SELECT_CHECKER_BOARD__DEBUG
const char * fcnName =
"checker_board_hyperslab_dr_pio_test__select_checker_board():";
#endif
hbool_t first_selection = TRUE;
int i, j, k, l, m;
int n_cube_offset;
int sel_offset;
const int test_max_rank = PAR_SS_DR_MAX_RANK; /* must update code if */
/* this changes */
hsize_t base_count;
hsize_t offset_count;
hsize_t start[PAR_SS_DR_MAX_RANK];
hsize_t stride[PAR_SS_DR_MAX_RANK];
hsize_t count[PAR_SS_DR_MAX_RANK];
hsize_t block[PAR_SS_DR_MAX_RANK];
herr_t ret; /* Generic return value */
HDassert( edge_size >= 6 );
HDassert( 0 < checker_edge_size );
HDassert( checker_edge_size <= edge_size );
HDassert( 0 < sel_rank );
HDassert( sel_rank <= tgt_rank );
HDassert( tgt_rank <= test_max_rank );
HDassert( test_max_rank <= PAR_SS_DR_MAX_RANK );
sel_offset = test_max_rank - sel_rank;
HDassert( sel_offset >= 0 );
n_cube_offset = test_max_rank - tgt_rank;
HDassert( n_cube_offset >= 0 );
HDassert( n_cube_offset <= sel_offset );
#if CHECKER_BOARD_HYPERSLAB_DR_PIO_TEST__SELECT_CHECKER_BOARD__DEBUG
HDfprintf(stdout, "%s:%d: edge_size/checker_edge_size = %d/%d\n",
fcnName, mpi_rank, edge_size, checker_edge_size);
HDfprintf(stdout, "%s:%d: sel_rank/sel_offset = %d/%d.\n",
fcnName, mpi_rank, sel_rank, sel_offset);
HDfprintf(stdout, "%s:%d: tgt_rank/n_cube_offset = %d/%d.\n",
fcnName, mpi_rank, tgt_rank, n_cube_offset);
#endif /* CHECKER_BOARD_HYPERSLAB_DR_PIO_TEST__SELECT_CHECKER_BOARD__DEBUG */
/* First, compute the base count (which assumes start == 0
* for the associated offset) and offset_count (which
* assumes start == checker_edge_size for the associated
* offset).
*
* Note that the following computation depends on the C99
* requirement that integer division discard any fraction
* (truncation towards zero) to function correctly. As we
* now require C99, this shouldn't be a problem, but noting
* it may save us some pain if we are ever obliged to support
* pre-C99 compilers again.
*/
base_count = edge_size / (checker_edge_size * 2);
if ( (edge_size % (checker_edge_size * 2)) > 0 ) {
base_count++;
}
offset_count = (edge_size - checker_edge_size) / (checker_edge_size * 2);
if ( ((edge_size - checker_edge_size) % (checker_edge_size * 2)) > 0 ) {
offset_count++;
}
/* Now set up the stride and block arrays, and portions of the start
* and count arrays that will not be altered during the selection of
* the checker board.
*/
i = 0;
while ( i < n_cube_offset ) {
/* these values should never be used */
start[i] = 0;
stride[i] = 0;
count[i] = 0;
block[i] = 0;
i++;
}
while ( i < sel_offset ) {
start[i] = sel_start[i];
stride[i] = 2 * edge_size;
count[i] = 1;
block[i] = 1;
i++;
}
while ( i < test_max_rank ) {
stride[i] = 2 * checker_edge_size;
block[i] = checker_edge_size;
i++;
}
i = 0;
do {
if ( 0 >= sel_offset ) {
if ( i == 0 ) {
start[0] = 0;
count[0] = base_count;
} else {
start[0] = checker_edge_size;
count[0] = offset_count;
}
}
j = 0;
do {
if ( 1 >= sel_offset ) {
if ( j == 0 ) {
start[1] = 0;
count[1] = base_count;
} else {
start[1] = checker_edge_size;
count[1] = offset_count;
}
}
k = 0;
do {
if ( 2 >= sel_offset ) {
if ( k == 0 ) {
start[2] = 0;
count[2] = base_count;
} else {
start[2] = checker_edge_size;
count[2] = offset_count;
}
}
l = 0;
do {
if ( 3 >= sel_offset ) {
if ( l == 0 ) {
start[3] = 0;
count[3] = base_count;
} else {
start[3] = checker_edge_size;
count[3] = offset_count;
}
}
m = 0;
do {
if ( 4 >= sel_offset ) {
if ( m == 0 ) {
start[4] = 0;
count[4] = base_count;
} else {
start[4] = checker_edge_size;
count[4] = offset_count;
}
}
if ( ((i + j + k + l + m) % 2) == 0 ) {
#if CHECKER_BOARD_HYPERSLAB_DR_PIO_TEST__SELECT_CHECKER_BOARD__DEBUG
HDfprintf(stdout, "%s%d: *** first_selection = %d ***\n",
fcnName, mpi_rank, (int)first_selection);
HDfprintf(stdout, "%s:%d: i/j/k/l/m = %d/%d/%d/%d/%d\n",
fcnName, mpi_rank, i, j, k, l, m);
HDfprintf(stdout,
"%s:%d: start = %d %d %d %d %d.\n",
fcnName, mpi_rank, (int)start[0], (int)start[1],
(int)start[2], (int)start[3], (int)start[4]);
HDfprintf(stdout,
"%s:%d: stride = %d %d %d %d %d.\n",
fcnName, mpi_rank, (int)stride[0], (int)stride[1],
(int)stride[2], (int)stride[3], (int)stride[4]);
HDfprintf(stdout,
"%s:%d: count = %d %d %d %d %d.\n",
fcnName, mpi_rank, (int)count[0], (int)count[1],
(int)count[2], (int)count[3], (int)count[4]);
HDfprintf(stdout,
"%s:%d: block = %d %d %d %d %d.\n",
fcnName, mpi_rank, (int)block[0], (int)block[1],
(int)block[2], (int)block[3], (int)block[4]);
HDfprintf(stdout, "%s:%d: n-cube extent dims = %d.\n",
fcnName, mpi_rank,
H5Sget_simple_extent_ndims(tgt_sid));
HDfprintf(stdout, "%s:%d: selection rank = %d.\n",
fcnName, mpi_rank, sel_rank);
#endif
if ( first_selection ) {
first_selection = FALSE;
ret = H5Sselect_hyperslab
(
tgt_sid,
H5S_SELECT_SET,
&(start[n_cube_offset]),
&(stride[n_cube_offset]),
&(count[n_cube_offset]),
&(block[n_cube_offset])
);
VRFY((ret != FAIL), "H5Sselect_hyperslab(SET) succeeded");
} else {
ret = H5Sselect_hyperslab
(
tgt_sid,
H5S_SELECT_OR,
&(start[n_cube_offset]),
&(stride[n_cube_offset]),
&(count[n_cube_offset]),
&(block[n_cube_offset])
);
VRFY((ret != FAIL), "H5Sselect_hyperslab(OR) succeeded");
}
}
m++;
} while ( ( m <= 1 ) &&
( 4 >= sel_offset ) );
l++;
} while ( ( l <= 1 ) &&
( 3 >= sel_offset ) );
k++;
} while ( ( k <= 1 ) &&
( 2 >= sel_offset ) );
j++;
} while ( ( j <= 1 ) &&
( 1 >= sel_offset ) );
i++;
} while ( ( i <= 1 ) &&
( 0 >= sel_offset ) );
#if CHECKER_BOARD_HYPERSLAB_DR_PIO_TEST__SELECT_CHECKER_BOARD__DEBUG
HDfprintf(stdout, "%s%d: H5Sget_select_npoints(tgt_sid) = %d.\n",
fcnName, mpi_rank, (int)H5Sget_select_npoints(tgt_sid));
#endif /* CHECKER_BOARD_HYPERSLAB_DR_PIO_TEST__SELECT_CHECKER_BOARD__DEBUG */
/* Clip the selection back to the data space proper. */
for ( i = 0; i < test_max_rank; i++ ) {
start[i] = 0;
stride[i] = edge_size;
count[i] = 1;
block[i] = edge_size;
}
ret = H5Sselect_hyperslab(tgt_sid, H5S_SELECT_AND,
start, stride, count, block);
VRFY((ret != FAIL), "H5Sselect_hyperslab(AND) succeeded");
#if CHECKER_BOARD_HYPERSLAB_DR_PIO_TEST__SELECT_CHECKER_BOARD__DEBUG
HDfprintf(stdout, "%s%d: H5Sget_select_npoints(tgt_sid) = %d.\n",
fcnName, mpi_rank, (int)H5Sget_select_npoints(tgt_sid));
HDfprintf(stdout, "%s%d: done.\n", fcnName, mpi_rank);
#endif /* CHECKER_BOARD_HYPERSLAB_DR_PIO_TEST__SELECT_CHECKER_BOARD__DEBUG */
return;
} /* checker_board_hyperslab_dr_pio_test__select_checker_board() */
/****************************************************************
**
** checker_board_hyperslab_dr_pio_test__verify_data():
**
** Examine the supplied buffer to see if it contains the
** expected data. Return TRUE if it does, and FALSE
** otherwise.
**
** The supplied buffer is presumed to this process's slice
** of the target data set. Each such slice will be an
** n-cube of rank (rank -1) and the supplied edge_size with
** origin (mpi_rank, 0, ... , 0) in the target data set.
**
** Further, the buffer is presumed to be the result of reading
** or writing a checker board selection of an m (1 <= m <
** rank) dimensional slice through this processes slice
** of the target data set. Also, this slice must be parallel
** to the fastest changing indicies.
**
** It is further presumed that the buffer was zeroed before
** the read/write, and that the full target data set (i.e.
** the buffer/data set for all processes) was initialized
** with the natural numbers listed in order from the origin
** along the fastest changing axis.
**
** Thus for a 20x10x10 dataset, the value stored in location
** (x, y, z) (assuming that z is the fastest changing index
** and x the slowest) is assumed to be:
**
** (10 * 10 * x) + (10 * y) + z
**
** Further, supposing that this is process 10, this process's
** slice of the dataset would be a 10 x 10 2-cube with origin
** (10, 0, 0) in the data set, and would be initialize (prior
** to the checkerboard selection) as follows:
**
** 1000, 1001, 1002, ... 1008, 1009
** 1010, 1011, 1012, ... 1018, 1019
** . . . . .
** . . . . .
** . . . . .
** 1090, 1091, 1092, ... 1098, 1099
**
** In the case of a read from the processors slice of another
** data set of different rank, the values expected will have
** to be adjusted accordingly. This is done via the
** first_expected_val parameter.
**
** Finally, the function presumes that the first element
** of the buffer resides either at the origin of either
** a selected or an unselected checker. (Translation:
** if partial checkers appear in the buffer, they will
** intersect the edges of the n-cube oposite the origin.)
**
****************************************************************/
#define CHECKER_BOARD_HYPERSLAB_DR_PIO_TEST__VERIFY_DATA__DEBUG 0
static hbool_t
checker_board_hyperslab_dr_pio_test__verify_data(uint32_t * buf_ptr,
const int rank,
const int edge_size,
const int checker_edge_size,
uint32_t first_expected_val,
hbool_t buf_starts_in_checker)
{
#if CHECKER_BOARD_HYPERSLAB_DR_PIO_TEST__VERIFY_DATA__DEBUG
const char * fcnName =
"checker_board_hyperslab_dr_pio_test__verify_data():";
#endif
hbool_t good_data = TRUE;
hbool_t in_checker;
hbool_t start_in_checker[5];
uint32_t expected_value;
uint32_t * val_ptr;
int i, j, k, l, m; /* to track position in n-cube */
int v, w, x, y, z; /* to track position in checker */
const int test_max_rank = 5; /* code changes needed if this is increased */
HDassert( buf_ptr != NULL );
HDassert( 0 < rank );
HDassert( rank <= test_max_rank );
HDassert( edge_size >= 6 );
HDassert( 0 < checker_edge_size );
HDassert( checker_edge_size <= edge_size );
HDassert( test_max_rank <= PAR_SS_DR_MAX_RANK );
#if CHECKER_BOARD_HYPERSLAB_DR_PIO_TEST__VERIFY_DATA__DEBUG
int mpi_rank;
MPI_Comm_rank(MPI_COMM_WORLD, &mpi_rank);
HDfprintf(stdout, "%s mpi_rank = %d.\n", fcnName, mpi_rank);
HDfprintf(stdout, "%s rank = %d.\n", fcnName, rank);
HDfprintf(stdout, "%s edge_size = %d.\n", fcnName, edge_size);
HDfprintf(stdout, "%s checker_edge_size = %d.\n", fcnName, checker_edge_size);
HDfprintf(stdout, "%s first_expected_val = %d.\n", fcnName, (int)first_expected_val);
HDfprintf(stdout, "%s starts_in_checker = %d.\n", fcnName, (int)buf_starts_in_checker);
}
#endif
val_ptr = buf_ptr;
expected_value = first_expected_val;
i = 0;
v = 0;
start_in_checker[0] = buf_starts_in_checker;
do
{
if ( v >= checker_edge_size ) {
start_in_checker[0] = ! start_in_checker[0];
v = 0;
}
j = 0;
w = 0;
start_in_checker[1] = start_in_checker[0];
do
{
if ( w >= checker_edge_size ) {
start_in_checker[1] = ! start_in_checker[1];
w = 0;
}
k = 0;
x = 0;
start_in_checker[2] = start_in_checker[1];
do
{
if ( x >= checker_edge_size ) {
start_in_checker[2] = ! start_in_checker[2];
x = 0;
}
l = 0;
y = 0;
start_in_checker[3] = start_in_checker[2];
do
{
if ( y >= checker_edge_size ) {
start_in_checker[3] = ! start_in_checker[3];
y = 0;
}
m = 0;
z = 0;
#if CHECKER_BOARD_HYPERSLAB_DR_PIO_TEST__VERIFY_DATA__DEBUG
HDfprintf(stdout, "%d, %d, %d, %d, %d:", i, j, k, l, m);
#endif
in_checker = start_in_checker[3];
do
{
#if CHECKER_BOARD_HYPERSLAB_DR_PIO_TEST__VERIFY_DATA__DEBUG
HDfprintf(stdout, " %d", (int)(*val_ptr));
#endif
if ( z >= checker_edge_size ) {
in_checker = ! in_checker;
z = 0;
}
if ( in_checker ) {
if ( *val_ptr != expected_value ) {
good_data = FALSE;
}
/* zero out buffer for re-use */
*val_ptr = 0;
} else if ( *val_ptr != 0 ) {
good_data = FALSE;
/* zero out buffer for re-use */
*val_ptr = 0;
}
val_ptr++;
expected_value++;
m++;
z++;
} while ( ( rank >= (test_max_rank - 4) ) &&
( m < edge_size ) );
#if CHECKER_BOARD_HYPERSLAB_DR_PIO_TEST__VERIFY_DATA__DEBUG
HDfprintf(stdout, "\n");
#endif
l++;
y++;
} while ( ( rank >= (test_max_rank - 3) ) &&
( l < edge_size ) );
k++;
x++;
} while ( ( rank >= (test_max_rank - 2) ) &&
( k < edge_size ) );
j++;
w++;
} while ( ( rank >= (test_max_rank - 1) ) &&
( j < edge_size ) );
i++;
v++;
} while ( ( rank >= test_max_rank ) &&
( i < edge_size ) );
return(good_data);
} /* checker_board_hyperslab_dr_pio_test__verify_data() */
/*-------------------------------------------------------------------------
* Function: checker_board_hyperslab_dr_pio_test__run_test()
*
* Purpose: Test I/O to/from checkerboard selections of hyperslabs of
* different rank in the parallel.
*
* Return: void
*
* Programmer: JRM -- 10/10/09
*
* Modifications:
*
* JRM -- 9/16/10
* Added the express_test parameter. Use it to control
* whether we set an alignment, and whether we allocate
* chunks such that no two processes will normally touch
* the same chunk.
*
*-------------------------------------------------------------------------
*/
#define PAR_SS_DR_MAX_RANK 5
#define CHECKER_BOARD_HYPERSLAB_DR_PIO_TEST__RUN_TEST__DEBUG 0
static void
checker_board_hyperslab_dr_pio_test__run_test(const int test_num,
const int edge_size,
const int checker_edge_size,
const int chunk_edge_size,
const int small_rank,
const int large_rank,
const hbool_t use_collective_io,
const hid_t dset_type,
const int express_test)
{
#if CHECKER_BOARD_HYPERSLAB_DR_PIO_TEST__RUN_TEST__DEBUG
const char *fcnName = "checker_board_hyperslab_dr_pio_test__run_test()";
#endif /* CHECKER_BOARD_HYPERSLAB_DR_PIO_TEST__RUN_TEST__DEBUG */
const char *filename;
hbool_t use_gpfs = FALSE; /* Use GPFS hints */
hbool_t data_ok = FALSE;
hbool_t mis_match = FALSE;
int i, j, k, l, n;
int mrc;
int start_index;
int stop_index;
int small_ds_offset;
int large_ds_offset;
const int test_max_rank = 5; /* must update code if this changes */
uint32_t expected_value;
uint32_t * small_ds_buf_0 = NULL;
uint32_t * small_ds_buf_1 = NULL;
uint32_t * small_ds_buf_2 = NULL;
uint32_t * small_ds_slice_buf = NULL;
uint32_t * large_ds_buf_0 = NULL;
uint32_t * large_ds_buf_1 = NULL;
uint32_t * large_ds_buf_2 = NULL;
uint32_t * large_ds_slice_buf = NULL;
uint32_t * ptr_0;
uint32_t * ptr_1;
uint32_t * ptr_2;
int mpi_rank;
int mpi_size;
MPI_Comm mpi_comm = MPI_COMM_NULL;
MPI_Info mpi_info = MPI_INFO_NULL;
hid_t fid; /* HDF5 file ID */
hid_t acc_tpl; /* File access templates */
hid_t xfer_plist = H5P_DEFAULT;
hid_t full_mem_small_ds_sid;
hid_t full_file_small_ds_sid;
hid_t mem_small_ds_sid;
hid_t file_small_ds_sid_0;
hid_t file_small_ds_sid_1;
hid_t small_ds_slice_sid;
hid_t full_mem_large_ds_sid;
hid_t full_file_large_ds_sid;
hid_t mem_large_ds_sid;
hid_t file_large_ds_sid_0;
hid_t file_large_ds_sid_1;
hid_t file_large_ds_process_slice_sid;
hid_t mem_large_ds_process_slice_sid;
hid_t large_ds_slice_sid;
hid_t small_ds_dcpl_id = H5P_DEFAULT;
hid_t large_ds_dcpl_id = H5P_DEFAULT;
hid_t small_dataset; /* Dataset ID */
hid_t large_dataset; /* Dataset ID */
size_t small_ds_size = 1;
size_t small_ds_slice_size = 1;
size_t large_ds_size = 1;
size_t large_ds_slice_size = 1;
hsize_t dims[PAR_SS_DR_MAX_RANK];
hsize_t chunk_dims[PAR_SS_DR_MAX_RANK];
hsize_t start[PAR_SS_DR_MAX_RANK];
hsize_t stride[PAR_SS_DR_MAX_RANK];
hsize_t count[PAR_SS_DR_MAX_RANK];
hsize_t block[PAR_SS_DR_MAX_RANK];
hsize_t sel_start[PAR_SS_DR_MAX_RANK];
htri_t check; /* Shape comparison return value */
herr_t ret; /* Generic return value */
HDassert( edge_size >= 6 );
HDassert( edge_size >= chunk_edge_size );
HDassert( ( chunk_edge_size == 0 ) || ( chunk_edge_size >= 3 ) );
HDassert( 1 < small_rank );
HDassert( small_rank < large_rank );
HDassert( large_rank <= test_max_rank );
HDassert( test_max_rank <= PAR_SS_DR_MAX_RANK );
MPI_Comm_size(MPI_COMM_WORLD, &mpi_size);
MPI_Comm_rank(MPI_COMM_WORLD, &mpi_rank);
HDassert( mpi_size >= 1 );
mpi_comm = MPI_COMM_WORLD;
mpi_info = MPI_INFO_NULL;
for ( i = 0; i < small_rank - 1; i++ )
{
small_ds_size *= (size_t)edge_size;
small_ds_slice_size *= (size_t)edge_size;
}
small_ds_size *= (size_t)(mpi_size + 1);
small_ds_offset = PAR_SS_DR_MAX_RANK - small_rank;
HDassert( 0 < small_ds_offset );
HDassert( small_ds_offset < PAR_SS_DR_MAX_RANK );
for ( i = 0; i < large_rank - 1; i++ ) {
large_ds_size *= (size_t)edge_size;
large_ds_slice_size *= (size_t)edge_size;
}
large_ds_size *= (size_t)(mpi_size + 1);
large_ds_offset = PAR_SS_DR_MAX_RANK - large_rank;
HDassert( 0 <= large_ds_offset );
HDassert( large_ds_offset < PAR_SS_DR_MAX_RANK );
/* Allocate buffers */
small_ds_buf_0 = (uint32_t *)HDmalloc(sizeof(uint32_t) * small_ds_size);
VRFY((small_ds_buf_0 != NULL), "malloc of small_ds_buf_0 succeeded");
small_ds_buf_1 = (uint32_t *)HDmalloc(sizeof(uint32_t) * small_ds_size);
VRFY((small_ds_buf_1 != NULL), "malloc of small_ds_buf_1 succeeded");
small_ds_buf_2 = (uint32_t *)HDmalloc(sizeof(uint32_t) * small_ds_size);
VRFY((small_ds_buf_2 != NULL), "malloc of small_ds_buf_2 succeeded");
small_ds_slice_buf =
(uint32_t *)HDmalloc(sizeof(uint32_t) * small_ds_slice_size);
VRFY((small_ds_slice_buf != NULL), "malloc of small_ds_slice_buf succeeded");
large_ds_buf_0 = (uint32_t *)HDmalloc(sizeof(uint32_t) * large_ds_size);
VRFY((large_ds_buf_0 != NULL), "malloc of large_ds_buf_0 succeeded");
large_ds_buf_1 = (uint32_t *)HDmalloc(sizeof(uint32_t) * large_ds_size);
VRFY((large_ds_buf_1 != NULL), "malloc of large_ds_buf_1 succeeded");
large_ds_buf_2 = (uint32_t *)HDmalloc(sizeof(uint32_t) * large_ds_size);
VRFY((large_ds_buf_2 != NULL), "malloc of large_ds_buf_2 succeeded");
large_ds_slice_buf =
(uint32_t *)HDmalloc(sizeof(uint32_t) * large_ds_slice_size);
VRFY((large_ds_slice_buf != NULL), "malloc of large_ds_slice_buf succeeded");
/* initialize the buffers */
ptr_0 = small_ds_buf_0;
for(i = 0; i < (int)small_ds_size; i++)
*ptr_0++ = (uint32_t)i;
HDmemset(small_ds_buf_1, 0, sizeof(uint32_t) * small_ds_size);
HDmemset(small_ds_buf_2, 0, sizeof(uint32_t) * small_ds_size);
HDmemset(small_ds_slice_buf, 0, sizeof(uint32_t) * small_ds_slice_size);
ptr_0 = large_ds_buf_0;
for(i = 0; i < (int)large_ds_size; i++)
*ptr_0++ = (uint32_t)i;
HDmemset(large_ds_buf_1, 0, sizeof(uint32_t) * large_ds_size);
HDmemset(large_ds_buf_2, 0, sizeof(uint32_t) * large_ds_size);
HDmemset(large_ds_slice_buf, 0, sizeof(uint32_t) * large_ds_slice_size);
filename = (const char *)GetTestParameters();
HDassert( filename != NULL );
#if CHECKER_BOARD_HYPERSLAB_DR_PIO_TEST__RUN_TEST__DEBUG
if ( MAINPROCESS ) {
HDfprintf(stdout, "%s:%d: test num = %d.\n", fcnName, mpi_rank, test_num);
HDfprintf(stdout, "%s:%d: mpi_size = %d.\n", fcnName, mpi_rank, mpi_size);
HDfprintf(stdout,
"%s:%d: small/large rank = %d/%d, use_collective_io = %d.\n",
fcnName, mpi_rank, small_rank, large_rank, (int)use_collective_io);
HDfprintf(stdout, "%s:%d: edge_size = %d, chunk_edge_size = %d.\n",
fcnName, mpi_rank, edge_size, chunk_edge_size);
HDfprintf(stdout, "%s:%d: checker_edge_size = %d.\n",
fcnName, mpi_rank, checker_edge_size);
HDfprintf(stdout, "%s:%d: small_ds_size = %d, large_ds_size = %d.\n",
fcnName, mpi_rank, (int)small_ds_size, (int)large_ds_size);
HDfprintf(stdout, "%s:%d: filename = %s.\n", fcnName, mpi_rank, filename);
}
#endif /* CHECKER_BOARD_HYPERSLAB_DR_PIO_TEST__RUN_TEST__DEBUG */
/* ----------------------------------------
* CREATE AN HDF5 FILE WITH PARALLEL ACCESS
* ---------------------------------------*/
/* setup file access template */
acc_tpl = create_faccess_plist(mpi_comm, mpi_info, facc_type, use_gpfs);
VRFY((acc_tpl >= 0), "create_faccess_plist() succeeded");
/* set the alignment -- need it large so that we aren't always hitting the
* the same file system block. Do this only if express_test is greater
* than zero.
*/
if ( express_test > 0 ) {
ret = H5Pset_alignment(acc_tpl, (hsize_t)0, SHAPE_SAME_TEST_ALIGNMENT);
VRFY((ret != FAIL), "H5Pset_alignment() succeeded");
}
/* create the file collectively */
fid = H5Fcreate(filename, H5F_ACC_TRUNC, H5P_DEFAULT, acc_tpl);
VRFY((fid >= 0), "H5Fcreate succeeded");
MESG("File opened.");
/* Release file-access template */
ret = H5Pclose(acc_tpl);
VRFY((ret >= 0), "H5Pclose(acc_tpl) succeeded");
/* setup dims: */
dims[0] = (int)(mpi_size + 1);
dims[1] = dims[2] = dims[3] = dims[4] = edge_size;
/* Create small ds dataspaces */
full_mem_small_ds_sid = H5Screate_simple(small_rank, dims, NULL);
VRFY((full_mem_small_ds_sid != 0),
"H5Screate_simple() full_mem_small_ds_sid succeeded");
full_file_small_ds_sid = H5Screate_simple(small_rank, dims, NULL);
VRFY((full_file_small_ds_sid != 0),
"H5Screate_simple() full_file_small_ds_sid succeeded");
mem_small_ds_sid = H5Screate_simple(small_rank, dims, NULL);
VRFY((mem_small_ds_sid != 0),
"H5Screate_simple() mem_small_ds_sid succeeded");
file_small_ds_sid_0 = H5Screate_simple(small_rank, dims, NULL);
VRFY((file_small_ds_sid_0 != 0),
"H5Screate_simple() file_small_ds_sid_0 succeeded");
file_small_ds_sid_1 = H5Screate_simple(small_rank, dims, NULL);
VRFY((file_small_ds_sid_1 != 0),
"H5Screate_simple() file_small_ds_sid_1 succeeded");
small_ds_slice_sid = H5Screate_simple(small_rank - 1, &(dims[1]), NULL);
VRFY((small_ds_slice_sid != 0),
"H5Screate_simple() small_ds_slice_sid succeeded");
/* Create large ds dataspaces */
full_mem_large_ds_sid = H5Screate_simple(large_rank, dims, NULL);
VRFY((full_mem_large_ds_sid != 0),
"H5Screate_simple() full_mem_large_ds_sid succeeded");
full_file_large_ds_sid = H5Screate_simple(large_rank, dims, NULL);
VRFY((full_file_large_ds_sid != FAIL),
"H5Screate_simple() full_file_large_ds_sid succeeded");
mem_large_ds_sid = H5Screate_simple(large_rank, dims, NULL);
VRFY((mem_large_ds_sid != FAIL),
"H5Screate_simple() mem_large_ds_sid succeeded");
file_large_ds_sid_0 = H5Screate_simple(large_rank, dims, NULL);
VRFY((file_large_ds_sid_0 != FAIL),
"H5Screate_simple() file_large_ds_sid_0 succeeded");
file_large_ds_sid_1 = H5Screate_simple(large_rank, dims, NULL);
VRFY((file_large_ds_sid_1 != FAIL),
"H5Screate_simple() file_large_ds_sid_1 succeeded");
mem_large_ds_process_slice_sid = H5Screate_simple(large_rank, dims, NULL);
VRFY((mem_large_ds_process_slice_sid != FAIL),
"H5Screate_simple() mem_large_ds_process_slice_sid succeeded");
file_large_ds_process_slice_sid = H5Screate_simple(large_rank, dims, NULL);
VRFY((file_large_ds_process_slice_sid != FAIL),
"H5Screate_simple() file_large_ds_process_slice_sid succeeded");
large_ds_slice_sid = H5Screate_simple(large_rank - 1, &(dims[1]), NULL);
VRFY((large_ds_slice_sid != 0),
"H5Screate_simple() large_ds_slice_sid succeeded");
/* if chunk edge size is greater than zero, set up the small and
* large data set creation property lists to specify chunked
* datasets.
*/
if ( chunk_edge_size > 0 ) {
/* Under Lustre (and perhaps other parallel file systems?) we get
* locking delays when two or more processes attempt to access the
* same file system block.
*
* To minimize this problem, I have changed chunk_dims[0]
* from (mpi_size + 1) to just when any sort of express test is
* selected. Given the structure of the test, and assuming we
* set the alignment large enough, this avoids the contention
* issue by seeing to it that each chunk is only accessed by one
* process.
*
* One can argue as to whether this is a good thing to do in our
* tests, but for now it is necessary if we want the test to complete
* in a reasonable amount of time.
*
* JRM -- 9/16/10
*/
if ( express_test == 0 ) {
chunk_dims[0] = 1;
} else {
chunk_dims[0] = 1;
}
chunk_dims[1] = chunk_dims[2] =
chunk_dims[3] = chunk_dims[4] = chunk_edge_size;
small_ds_dcpl_id = H5Pcreate(H5P_DATASET_CREATE);
VRFY((ret != FAIL), "H5Pcreate() small_ds_dcpl_id succeeded");
ret = H5Pset_layout(small_ds_dcpl_id, H5D_CHUNKED);
VRFY((ret != FAIL), "H5Pset_layout() small_ds_dcpl_id succeeded");
ret = H5Pset_chunk(small_ds_dcpl_id, small_rank, chunk_dims);
VRFY((ret != FAIL), "H5Pset_chunk() small_ds_dcpl_id succeeded");
large_ds_dcpl_id = H5Pcreate(H5P_DATASET_CREATE);
VRFY((ret != FAIL), "H5Pcreate() large_ds_dcpl_id succeeded");
ret = H5Pset_layout(large_ds_dcpl_id, H5D_CHUNKED);
VRFY((ret != FAIL), "H5Pset_layout() large_ds_dcpl_id succeeded");
ret = H5Pset_chunk(large_ds_dcpl_id, large_rank, chunk_dims);
VRFY((ret != FAIL), "H5Pset_chunk() large_ds_dcpl_id succeeded");
}
/* create the small dataset */
small_dataset = H5Dcreate2(fid, "small_dataset", dset_type,
file_small_ds_sid_0, H5P_DEFAULT,
small_ds_dcpl_id, H5P_DEFAULT);
VRFY((ret != FAIL), "H5Dcreate2() small_dataset succeeded");
/* create the large dataset */
large_dataset = H5Dcreate2(fid, "large_dataset", dset_type,
file_large_ds_sid_0, H5P_DEFAULT,
large_ds_dcpl_id, H5P_DEFAULT);
VRFY((ret != FAIL), "H5Dcreate2() large_dataset succeeded");
/* setup xfer property list */
xfer_plist = H5Pcreate(H5P_DATASET_XFER);
VRFY((xfer_plist >= 0), "H5Pcreate(H5P_DATASET_XFER) succeeded");
if(use_collective_io) {
ret = H5Pset_dxpl_mpio(xfer_plist, H5FD_MPIO_COLLECTIVE);
VRFY((ret >= 0), "H5Pset_dxpl_mpio succeeded");
}
/* setup selection to write initial data to the small and large data sets */
start[0] = mpi_rank;
stride[0] = 2 * (mpi_size + 1);
count[0] = 1;
block[0] = 1;
for ( i = 1; i < large_rank; i++ ) {
start[i] = 0;
stride[i] = 2 * edge_size;
count[i] = 1;
block[i] = edge_size;
}
/* setup selections for writing initial data to the small data set */
ret = H5Sselect_hyperslab(mem_small_ds_sid,
H5S_SELECT_SET,
start,
stride,
count,
block);
VRFY((ret >= 0), "H5Sselect_hyperslab(mem_small_ds_sid, set) suceeded");
ret = H5Sselect_hyperslab(file_small_ds_sid_0,
H5S_SELECT_SET,
start,
stride,
count,
block);
VRFY((ret >= 0), "H5Sselect_hyperslab(file_small_ds_sid_0, set) suceeded");
if ( MAINPROCESS ) { /* add an additional slice to the selections */
start[0] = mpi_size;
ret = H5Sselect_hyperslab(mem_small_ds_sid,
H5S_SELECT_OR,
start,
stride,
count,
block);
VRFY((ret>= 0), "H5Sselect_hyperslab(mem_small_ds_sid, or) suceeded");
ret = H5Sselect_hyperslab(file_small_ds_sid_0,
H5S_SELECT_OR,
start,
stride,
count,
block);
VRFY((ret>= 0), "H5Sselect_hyperslab(file_small_ds_sid_0, or) suceeded");
}
/* write the initial value of the small data set to file */
ret = H5Dwrite(small_dataset, dset_type, mem_small_ds_sid, file_small_ds_sid_0,
xfer_plist, small_ds_buf_0);
VRFY((ret >= 0), "H5Dwrite() small_dataset initial write succeeded");
/* sync with the other processes before checking data */
if ( ! use_collective_io ) {
mrc = MPI_Barrier(MPI_COMM_WORLD);
VRFY((mrc==MPI_SUCCESS), "Sync after small dataset writes");
}
/* read the small data set back to verify that it contains the
* expected data. Note that each process reads in the entire
* data set and verifies it.
*/
ret = H5Dread(small_dataset,
H5T_NATIVE_UINT32,
full_mem_small_ds_sid,
full_file_small_ds_sid,
xfer_plist,
small_ds_buf_1);
VRFY((ret >= 0), "H5Dread() small_dataset initial read succeeded");
/* verify that the correct data was written to the small data set */
expected_value = 0;
mis_match = FALSE;
ptr_1 = small_ds_buf_1;
i = 0;
for ( i = 0; i < (int)small_ds_size; i++ ) {
if ( *ptr_1 != expected_value ) {
mis_match = TRUE;
}
ptr_1++;
expected_value++;
}
VRFY( (mis_match == FALSE), "small ds init data good.");
/* setup selections for writing initial data to the large data set */
start[0] = mpi_rank;
ret = H5Sselect_hyperslab(mem_large_ds_sid,
H5S_SELECT_SET,
start,
stride,
count,
block);
VRFY((ret >= 0), "H5Sselect_hyperslab(mem_large_ds_sid, set) suceeded");
ret = H5Sselect_hyperslab(file_large_ds_sid_0,
H5S_SELECT_SET,
start,
stride,
count,
block);
VRFY((ret >= 0), "H5Sselect_hyperslab(file_large_ds_sid_0, set) suceeded");
/* In passing, setup the process slice data spaces as well */
ret = H5Sselect_hyperslab(mem_large_ds_process_slice_sid,
H5S_SELECT_SET,
start,
stride,
count,
block);
VRFY((ret >= 0),
"H5Sselect_hyperslab(mem_large_ds_process_slice_sid, set) suceeded");
ret = H5Sselect_hyperslab(file_large_ds_process_slice_sid,
H5S_SELECT_SET,
start,
stride,
count,
block);
VRFY((ret >= 0),
"H5Sselect_hyperslab(file_large_ds_process_slice_sid, set) suceeded");
if ( MAINPROCESS ) { /* add an additional slice to the selections */
start[0] = mpi_size;
ret = H5Sselect_hyperslab(mem_large_ds_sid,
H5S_SELECT_OR,
start,
stride,
count,
block);
VRFY((ret>= 0), "H5Sselect_hyperslab(mem_large_ds_sid, or) suceeded");
ret = H5Sselect_hyperslab(file_large_ds_sid_0,
H5S_SELECT_OR,
start,
stride,
count,
block);
VRFY((ret>= 0), "H5Sselect_hyperslab(file_large_ds_sid_0, or) suceeded");
}
/* write the initial value of the large data set to file */
ret = H5Dwrite(large_dataset, dset_type, mem_large_ds_sid, file_large_ds_sid_0,
xfer_plist, large_ds_buf_0);
if ( ret < 0 ) H5Eprint2(H5E_DEFAULT, stderr);
VRFY((ret >= 0), "H5Dwrite() large_dataset initial write succeeded");
/* sync with the other processes before checking data */
if ( ! use_collective_io ) {
mrc = MPI_Barrier(MPI_COMM_WORLD);
VRFY((mrc==MPI_SUCCESS), "Sync after large dataset writes");
}
/* read the small data set back to verify that it contains the
* expected data. Note that each process reads in the entire
* data set.
*/
ret = H5Dread(large_dataset,
H5T_NATIVE_UINT32,
full_mem_large_ds_sid,
full_file_large_ds_sid,
xfer_plist,
large_ds_buf_1);
VRFY((ret >= 0), "H5Dread() large_dataset initial read succeeded");
/* verify that the correct data was written to the small data set */
expected_value = 0;
mis_match = FALSE;
ptr_1 = large_ds_buf_1;
i = 0;
for ( i = 0; i < (int)large_ds_size; i++ ) {
if ( *ptr_1 != expected_value ) {
mis_match = TRUE;
}
ptr_1++;
expected_value++;
}
VRFY( (mis_match == FALSE), "large ds init data good.");
/* sync with the other processes before changing data */
if ( ! use_collective_io ) {
mrc = MPI_Barrier(MPI_COMM_WORLD);
VRFY((mrc==MPI_SUCCESS), "Sync after initial values check");
}
/***********************************/
/***** INITIALIZATION COMPLETE *****/
/***********************************/
/* first, verify that we can read from disk correctly using selections
* of different rank that H5S_select_shape_same() views as being of the
* same shape.
*
* Start by reading a (small_rank - 1)-D slice from this processes slice
* of the on disk large data set, and verifying that the data read is
* correct. Verify that H5S_select_shape_same() returns true on the
* memory and file selections.
*
* The first step is to set up the needed checker board selection in the
* in memory small small cube
*/
sel_start[0] = sel_start[1] = sel_start[2] = sel_start[3] = sel_start[4] = 0;
sel_start[small_ds_offset] = mpi_rank;
checker_board_hyperslab_dr_pio_test__select_checker_board(mpi_rank,
small_ds_slice_sid,
small_rank - 1,
edge_size,
checker_edge_size,
small_rank - 1,
sel_start);
/* zero out the buffer we will be reading into */
HDmemset(small_ds_slice_buf, 0, sizeof(uint32_t) * small_ds_slice_size);
#if CHECKER_BOARD_HYPERSLAB_DR_PIO_TEST__RUN_TEST__DEBUG
HDfprintf(stdout, "%s:%d: initial small_ds_slice_buf = ",
fcnName, mpi_rank);
ptr_0 = small_ds_slice_buf;
for ( i = 0; i < (int)small_ds_slice_size; i++ ) {
HDfprintf(stdout, "%d ", (int)(*ptr_0));
ptr_0++;
}
HDfprintf(stdout, "\n");
#endif /* CHECKER_BOARD_HYPERSLAB_DR_PIO_TEST__RUN_TEST__DEBUG */
/* set up start, stride, count, and block -- note that we will
* change start[] so as to read slices of the large cube.
*/
for ( i = 0; i < PAR_SS_DR_MAX_RANK; i++ ) {
start[i] = 0;
stride[i] = 2 * edge_size;
count[i] = 1;
if ( (PAR_SS_DR_MAX_RANK - i) > (small_rank - 1) ) {
block[i] = 1;
} else {
block[i] = edge_size;
}
}
#if CHECKER_BOARD_HYPERSLAB_DR_PIO_TEST__RUN_TEST__DEBUG
HDfprintf(stdout,
"%s:%d: reading slice from big ds on disk into small ds slice.\n",
fcnName, mpi_rank);
#endif /* CHECKER_BOARD_HYPERSLAB_DR_PIO_TEST__RUN_TEST__DEBUG */
/* in serial versions of this test, we loop through all the dimensions
* of the large data set. However, in the parallel version, each
* process only works with that slice of the large cube indicated
* by its rank -- hence we set the most slowly changing index to
* mpi_rank, and don't itterate over it.
*/
if ( PAR_SS_DR_MAX_RANK - large_rank == 0 ) {
i = mpi_rank;
} else {
i = 0;
}
/* since large_rank is at most PAR_SS_DR_MAX_RANK, no need to
* loop over it -- either we are setting i to mpi_rank, or
* we are setting it to zero. It will not change during the
* test.
*/
if ( PAR_SS_DR_MAX_RANK - large_rank == 1 ) {
j = mpi_rank;
} else {
j = 0;
}
do {
if ( PAR_SS_DR_MAX_RANK - large_rank == 2 ) {
k = mpi_rank;
} else {
k = 0;
}
do {
/* since small rank >= 2 and large_rank > small_rank, we
* have large_rank >= 3. Since PAR_SS_DR_MAX_RANK == 5
* (baring major re-orgaization), this gives us:
*
* (PAR_SS_DR_MAX_RANK - large_rank) <= 2
*
* so no need to repeat the test in the outer loops --
* just set l = 0.
*/
l = 0;
do {
/* we know that small_rank - 1 >= 1 and that
* large_rank > small_rank by the assertions at the head
* of this function. Thus no need for another inner loop.
*/
start[0] = i;
start[1] = j;
start[2] = k;
start[3] = l;
start[4] = 0;
HDassert( ( start[0] == 0 ) || ( 0 < small_ds_offset + 1 ) );
HDassert( ( start[1] == 0 ) || ( 1 < small_ds_offset + 1 ) );
HDassert( ( start[2] == 0 ) || ( 2 < small_ds_offset + 1 ) );
HDassert( ( start[3] == 0 ) || ( 3 < small_ds_offset + 1 ) );
HDassert( ( start[4] == 0 ) || ( 4 < small_ds_offset + 1 ) );
checker_board_hyperslab_dr_pio_test__select_checker_board
(
mpi_rank,
file_large_ds_sid_0,
large_rank,
edge_size,
checker_edge_size,
small_rank - 1,
start
);
/* verify that H5S_select_shape_same() reports the two
* selections as having the same shape.
*/
check = H5S_select_shape_same_test(small_ds_slice_sid,
file_large_ds_sid_0);
VRFY((check == TRUE), "H5S_select_shape_same_test passed");
/* Read selection from disk */
#if CHECKER_BOARD_HYPERSLAB_DR_PIO_TEST__RUN_TEST__DEBUG
HDfprintf(stdout, "%s:%d: start = %d %d %d %d %d.\n", fcnName,
mpi_rank, start[0], start[1], start[2], start[3],
start[4]);
HDfprintf(stdout, "%s slice/file extent dims = %d/%d.\n",
fcnName,
H5Sget_simple_extent_ndims(small_ds_slice_sid),
H5Sget_simple_extent_ndims(file_large_ds_sid_0));
#endif /* CHECKER_BOARD_HYPERSLAB_DR_PIO_TEST__RUN_TEST__DEBUG */
ret = H5Dread(large_dataset,
H5T_NATIVE_UINT32,
small_ds_slice_sid,
file_large_ds_sid_0,
xfer_plist,
small_ds_slice_buf);
VRFY((ret >= 0), "H5Sread() slice from large ds succeeded.");
#if CHECKER_BOARD_HYPERSLAB_DR_PIO_TEST__RUN_TEST__DEBUG
HDfprintf(stdout, "%s:%d: H5Dread() returns.\n",
fcnName, mpi_rank);
#endif
/* verify that expected data is retrieved */
expected_value = (uint32_t)
((i * edge_size * edge_size * edge_size * edge_size) +
(j * edge_size * edge_size * edge_size) +
(k * edge_size * edge_size) +
(l * edge_size));
data_ok = checker_board_hyperslab_dr_pio_test__verify_data
(
small_ds_slice_buf,
small_rank - 1,
edge_size,
checker_edge_size,
expected_value,
(hbool_t)TRUE
);
VRFY((data_ok == TRUE),
"small slice read from large ds data good.");
l++;
} while ( ( large_rank > 2 ) &&
( (small_rank - 1) <= 1 ) &&
( l < edge_size ) );
k++;
} while ( ( large_rank > 3 ) &&
( (small_rank - 1) <= 2 ) &&
( k < edge_size ) );
j++;
} while ( ( large_rank > 4 ) &&
( (small_rank - 1) <= 3 ) &&
( j < edge_size ) );
/* similarly, read slices of the on disk small data set into slices
* through the in memory large data set, and verify that the correct
* data (and only the correct data) is read.
*/
sel_start[0] = sel_start[1] = sel_start[2] = sel_start[3] = sel_start[4] = 0;
sel_start[small_ds_offset] = mpi_rank;
checker_board_hyperslab_dr_pio_test__select_checker_board(mpi_rank,
file_small_ds_sid_0,
small_rank,
edge_size,
checker_edge_size,
small_rank - 1,
sel_start);
#if CHECKER_BOARD_HYPERSLAB_DR_PIO_TEST__RUN_TEST__DEBUG
HDfprintf(stdout,
"%s reading slices of on disk small data set into slices of big data set.\n",
fcnName);
#endif
/* zero out the buffer we will be reading into */
HDmemset(large_ds_buf_1, 0, sizeof(uint32_t) * large_ds_size);
/* set up start, stride, count, and block -- note that we will
* change start[] so as to read the slice of the small data set
* into different slices of the process slice of the large data
* set.
*/
for ( i = 0; i < PAR_SS_DR_MAX_RANK; i++ ) {
start[i] = 0;
stride[i] = 2 * edge_size;
count[i] = 1;
if ( (PAR_SS_DR_MAX_RANK - i) > (small_rank - 1) ) {
block[i] = 1;
} else {
block[i] = edge_size;
}
}
/* in serial versions of this test, we loop through all the dimensions
* of the large data set that don't appear in the small data set.
*
* However, in the parallel version, each process only works with that
* slice of the large (and small) data set indicated by its rank -- hence
* we set the most slowly changing index to mpi_rank, and don't itterate
* over it.
*/
if ( PAR_SS_DR_MAX_RANK - large_rank == 0 ) {
i = mpi_rank;
} else {
i = 0;
}
/* since large_rank is at most PAR_SS_DR_MAX_RANK, no need to
* loop over it -- either we are setting i to mpi_rank, or
* we are setting it to zero. It will not change during the
* test.
*/
if ( PAR_SS_DR_MAX_RANK - large_rank == 1 ) {
j = mpi_rank;
} else {
j = 0;
}
do {
if ( PAR_SS_DR_MAX_RANK - large_rank == 2 ) {
k = mpi_rank;
} else {
k = 0;
}
do {
/* since small rank >= 2 and large_rank > small_rank, we
* have large_rank >= 3. Since PAR_SS_DR_MAX_RANK == 5
* (baring major re-orgaization), this gives us:
*
* (PAR_SS_DR_MAX_RANK - large_rank) <= 2
*
* so no need to repeat the test in the outer loops --
* just set l = 0.
*/
l = 0;
do {
/* we know that small_rank >= 1 and that large_rank > small_rank
* by the assertions at the head of this function. Thus no
* need for another inner loop.
*/
start[0] = i;
start[1] = j;
start[2] = k;
start[3] = l;
start[4] = 0;
HDassert( ( start[0] == 0 ) || ( 0 < small_ds_offset + 1 ) );
HDassert( ( start[1] == 0 ) || ( 1 < small_ds_offset + 1 ) );
HDassert( ( start[2] == 0 ) || ( 2 < small_ds_offset + 1 ) );
HDassert( ( start[3] == 0 ) || ( 3 < small_ds_offset + 1 ) );
HDassert( ( start[4] == 0 ) || ( 4 < small_ds_offset + 1 ) );
checker_board_hyperslab_dr_pio_test__select_checker_board
(
mpi_rank,
mem_large_ds_sid,
large_rank,
edge_size,
checker_edge_size,
small_rank - 1,
start
);
/* verify that H5S_select_shape_same() reports the two
* selections as having the same shape.
*/
check = H5S_select_shape_same_test(file_small_ds_sid_0,
mem_large_ds_sid);
VRFY((check == TRUE), "H5S_select_shape_same_test passed");
/* Read selection from disk */
#if CHECKER_BOARD_HYPERSLAB_DR_PIO_TEST__RUN_TEST__DEBUG
HDfprintf(stdout, "%s:%d: start = %d %d %d %d %d.\n",
fcnName, mpi_rank,
start[0], start[1], start[2], start[3], start[4]);
HDfprintf(stdout, "%s:%d: mem/file extent dims = %d/%d.\n",
fcnName, mpi_rank,
H5Sget_simple_extent_ndims(large_ds_slice_sid),
H5Sget_simple_extent_ndims(file_small_ds_sid_0));
#endif
ret = H5Dread(small_dataset,
H5T_NATIVE_UINT32,
mem_large_ds_sid,
file_small_ds_sid_0,
xfer_plist,
large_ds_buf_1);
VRFY((ret >= 0), "H5Sread() slice from small ds succeeded.");
/* verify that the expected data and only the
* expected data was read.
*/
data_ok = TRUE;
ptr_1 = large_ds_buf_1;
expected_value = mpi_rank * small_ds_slice_size;
start_index =
(i * edge_size * edge_size * edge_size * edge_size) +
(j * edge_size * edge_size * edge_size) +
(k * edge_size * edge_size) +
(l * edge_size);
stop_index = start_index + (int)small_ds_slice_size - 1;
#if CHECKER_BOARD_HYPERSLAB_DR_PIO_TEST__RUN_TEST__DEBUG
{
int m;
HDfprintf(stdout, "%s:%d: expected_value = %d.\n",
fcnName, mpi_rank, expected_value);
HDfprintf(stdout, "%s:%d: start/stop index = %d/%d.\n",
fcnName, mpi_rank, start_index, stop_index);
n = 0;
for ( m = 0; m < large_ds_size; m ++ ) {
HDfprintf(stdout, "%d ", (int)(*ptr_1));
ptr_1++;
n++;
if ( n >= edge_size ) {
HDfprintf(stdout, "\n");
n = 0;
}
}
HDfprintf(stdout, "\n");
fsync(stdout);
ptr_1 = large_ds_buf_1;
}
#endif
HDassert( 0 <= start_index );
HDassert( start_index < stop_index );
HDassert( stop_index <= (int)large_ds_size );
for ( n = 0; n < (int)start_index; n++ ) {
if ( *ptr_1 != 0 ) {
data_ok = FALSE;
}
/* zero out the value for the next pass */
*ptr_1 = 0;
ptr_1++;
}
VRFY((data_ok == TRUE),
"slice read from small to large ds data good(1).");
data_ok = checker_board_hyperslab_dr_pio_test__verify_data
(
ptr_1,
small_rank - 1,
edge_size,
checker_edge_size,
expected_value,
(hbool_t)TRUE
);
VRFY((data_ok == TRUE),
"slice read from small to large ds data good(2).");
ptr_1 = large_ds_buf_1 + stop_index + 1;
for ( n = stop_index + 1; n < large_ds_size; n++ ) {
if ( *ptr_1 != 0 ) {
data_ok = FALSE;
}
/* zero out the value for the next pass */
*ptr_1 = 0;
*ptr_1++;
}
VRFY((data_ok == TRUE),
"slice read from small to large ds data good(3).");
l++;
} while ( ( large_rank > 2 ) &&
( (small_rank - 1) <= 1 ) &&
( l < edge_size ) );
k++;
} while ( ( large_rank > 3 ) &&
( (small_rank - 1) <= 2 ) &&
( k < edge_size ) );
j++;
} while ( ( large_rank > 4 ) &&
( (small_rank - 1) <= 3 ) &&
( j < edge_size ) );
/* now we go in the opposite direction, verifying that we can write
* from memory to file using selections of different rank that
* H5S_select_shape_same() views as being of the same shape.
*
* Start by writing small_rank - 1 D slices from the in memory large data
* set to the on disk small dataset. After each write, read the slice of
* the small dataset back from disk, and verify that it contains the
* expected data. Verify that H5S_select_shape_same() returns true on
* the memory and file selections.
*/
start[0] = mpi_rank;
stride[0] = 2 * (mpi_size + 1);
count[0] = 1;
block[0] = 1;
for ( i = 1; i < large_rank; i++ ) {
start[i] = 0;
stride[i] = 2 * edge_size;
count[i] = 1;
block[i] = edge_size;
}
ret = H5Sselect_hyperslab(file_small_ds_sid_0,
H5S_SELECT_SET,
start,
stride,
count,
block);
VRFY((ret >= 0), "H5Sselect_hyperslab(file_small_ds_sid_0, set) suceeded");
ret = H5Sselect_hyperslab(mem_small_ds_sid,
H5S_SELECT_SET,
start,
stride,
count,
block);
VRFY((ret >= 0), "H5Sselect_hyperslab(mem_small_ds_sid, set) suceeded");
sel_start[0] = sel_start[1] = sel_start[2] = sel_start[3] = sel_start[4] = 0;
sel_start[small_ds_offset] = mpi_rank;
checker_board_hyperslab_dr_pio_test__select_checker_board(mpi_rank,
file_small_ds_sid_1,
small_rank,
edge_size,
checker_edge_size,
small_rank - 1,
sel_start);
/* set up start, stride, count, and block -- note that we will
* change start[] so as to read slices of the large cube.
*/
for ( i = 0; i < PAR_SS_DR_MAX_RANK; i++ ) {
start[i] = 0;
stride[i] = 2 * edge_size;
count[i] = 1;
if ( (PAR_SS_DR_MAX_RANK - i) > (small_rank - 1) ) {
block[i] = 1;
} else {
block[i] = edge_size;
}
}
/* zero out the in memory small ds */
HDmemset(small_ds_buf_1, 0, sizeof(uint32_t) * small_ds_size);
#if CHECKER_BOARD_HYPERSLAB_DR_PIO_TEST__RUN_TEST__DEBUG
HDfprintf(stdout,
"%s writing checker boards selections of slices from big ds to slices of small ds on disk.\n",
fcnName);
#endif
/* in serial versions of this test, we loop through all the dimensions
* of the large data set that don't appear in the small data set.
*
* However, in the parallel version, each process only works with that
* slice of the large (and small) data set indicated by its rank -- hence
* we set the most slowly changing index to mpi_rank, and don't itterate
* over it.
*/
if ( PAR_SS_DR_MAX_RANK - large_rank == 0 ) {
i = mpi_rank;
} else {
i = 0;
}
/* since large_rank is at most PAR_SS_DR_MAX_RANK, no need to
* loop over it -- either we are setting i to mpi_rank, or
* we are setting it to zero. It will not change during the
* test.
*/
if ( PAR_SS_DR_MAX_RANK - large_rank == 1 ) {
j = mpi_rank;
} else {
j = 0;
}
j = 0;
do {
if ( PAR_SS_DR_MAX_RANK - large_rank == 2 ) {
k = mpi_rank;
} else {
k = 0;
}
do {
/* since small rank >= 2 and large_rank > small_rank, we
* have large_rank >= 3. Since PAR_SS_DR_MAX_RANK == 5
* (baring major re-orgaization), this gives us:
*
* (PAR_SS_DR_MAX_RANK - large_rank) <= 2
*
* so no need to repeat the test in the outer loops --
* just set l = 0.
*/
l = 0;
do {
/* we know that small_rank >= 1 and that large_rank > small_rank
* by the assertions at the head of this function. Thus no
* need for another inner loop.
*/
/* zero out this rank's slice of the on disk small data set */
ret = H5Dwrite(small_dataset,
H5T_NATIVE_UINT32,
mem_small_ds_sid,
file_small_ds_sid_0,
xfer_plist,
small_ds_buf_2);
VRFY((ret >= 0), "H5Dwrite() zero slice to small ds succeeded.");
/* select the portion of the in memory large cube from which we
* are going to write data.
*/
start[0] = i;
start[1] = j;
start[2] = k;
start[3] = l;
start[4] = 0;
HDassert( ( start[0] == 0 ) || ( 0 < small_ds_offset + 1 ) );
HDassert( ( start[1] == 0 ) || ( 1 < small_ds_offset + 1 ) );
HDassert( ( start[2] == 0 ) || ( 2 < small_ds_offset + 1 ) );
HDassert( ( start[3] == 0 ) || ( 3 < small_ds_offset + 1 ) );
HDassert( ( start[4] == 0 ) || ( 4 < small_ds_offset + 1 ) );
checker_board_hyperslab_dr_pio_test__select_checker_board
(
mpi_rank,
mem_large_ds_sid,
large_rank,
edge_size,
checker_edge_size,
small_rank - 1,
start
);
/* verify that H5S_select_shape_same() reports the in
* memory checkerboard selection of the slice through the
* large dataset and the checkerboard selection of the process
* slice of the small data set as having the same shape.
*/
check = H5S_select_shape_same_test(file_small_ds_sid_1,
mem_large_ds_sid);
VRFY((check == TRUE), "H5S_select_shape_same_test passed.");
/* write the checker board selection of the slice from the in
* memory large data set to the slice of the on disk small
* dataset.
*/
#if CHECKER_BOARD_HYPERSLAB_DR_PIO_TEST__RUN_TEST__DEBUG
HDfprintf(stdout, "%s:%d: start = %d %d %d %d %d.\n",
fcnName, mpi_rank,
start[0], start[1], start[2], start[3], start[4]);
HDfprintf(stdout, "%s:%d: mem/file extent dims = %d/%d.\n",
fcnName, mpi_rank,
H5Sget_simple_extent_ndims(mem_large_ds_sid),
H5Sget_simple_extent_ndims(file_small_ds_sid_1));
#endif
ret = H5Dwrite(small_dataset,
H5T_NATIVE_UINT32,
mem_large_ds_sid,
file_small_ds_sid_1,
xfer_plist,
large_ds_buf_0);
VRFY((ret >= 0), "H5Dwrite() slice to large ds succeeded.");
/* read the on disk process slice of the small dataset into memory */
ret = H5Dread(small_dataset,
H5T_NATIVE_UINT32,
mem_small_ds_sid,
file_small_ds_sid_0,
xfer_plist,
small_ds_buf_1);
VRFY((ret >= 0), "H5Dread() slice from small ds succeeded.");
/* verify that expected data is retrieved */
mis_match = FALSE;
ptr_1 = small_ds_buf_1;
expected_value =
(i * edge_size * edge_size * edge_size * edge_size) +
(j * edge_size * edge_size * edge_size) +
(k * edge_size * edge_size) +
(l * edge_size);
start_index = mpi_rank * small_ds_slice_size;
stop_index = start_index + small_ds_slice_size - 1;
HDassert( 0 <= start_index );
HDassert( start_index < stop_index );
HDassert( stop_index <= (int)small_ds_size );
data_ok = TRUE;
for ( n = 0; n < start_index; n++ ) {
if ( *(ptr_1 + n) != 0 ) {
data_ok = FALSE;
*(ptr_1 + n) = 0;
}
}
data_ok &= checker_board_hyperslab_dr_pio_test__verify_data
(
ptr_1 + start_index,
small_rank - 1,
edge_size,
checker_edge_size,
expected_value,
(hbool_t)TRUE
);
for ( n = stop_index; n < small_ds_size; n++ ) {
if ( *(ptr_1 + n) != 0 ) {
data_ok = FALSE;
*(ptr_1 + n) = 0;
}
}
VRFY((data_ok == TRUE),
"large slice write slice to small slice data good.");
l++;
} while ( ( large_rank > 2 ) &&
( (small_rank - 1) <= 1 ) &&
( l < edge_size ) );
k++;
} while ( ( large_rank > 3 ) &&
( (small_rank - 1) <= 2 ) &&
( k < edge_size ) );
j++;
} while ( ( large_rank > 4 ) &&
( (small_rank - 1) <= 3 ) &&
( j < edge_size ) );
/* Now write the contents of the process's slice of the in memory
* small data set to slices of the on disk large data set. After
* each write, read the process's slice of the large data set back
* into memory, and verify that it contains the expected data.
* Verify that H5S_select_shape_same() returns true on the memory
* and file selections.
*/
start[0] = mpi_rank;
stride[0] = 2 * (mpi_size + 1);
count[0] = 1;
block[0] = 1;
for ( i = 1; i < large_rank; i++ ) {
start[i] = 0;
stride[i] = 2 * edge_size;
count[i] = 1;
block[i] = edge_size;
}
ret = H5Sselect_hyperslab(file_large_ds_sid_0,
H5S_SELECT_SET,
start,
stride,
count,
block);
VRFY((ret >= 0), "H5Sselect_hyperslab(file_large_ds_sid_0, set) suceeded");
ret = H5Sselect_hyperslab(mem_large_ds_sid,
H5S_SELECT_SET,
start,
stride,
count,
block);
VRFY((ret >= 0), "H5Sselect_hyperslab(mem_small_ds_sid, set) suceeded");
/* setup a checkerboard selection of the slice of the in memory small
* data set associated with the process's mpi rank.
*/
sel_start[0] = sel_start[1] = sel_start[2] = sel_start[3] = sel_start[4] = 0;
sel_start[small_ds_offset] = mpi_rank;
checker_board_hyperslab_dr_pio_test__select_checker_board(mpi_rank,
mem_small_ds_sid,
small_rank,
edge_size,
checker_edge_size,
small_rank - 1,
sel_start);
/* set up start, stride, count, and block -- note that we will
* change start[] so as to write checkerboard selections of slices
* of the small data set to slices of the large data set.
*/
for ( i = 0; i < PAR_SS_DR_MAX_RANK; i++ ) {
start[i] = 0;
stride[i] = 2 * edge_size;
count[i] = 1;
if ( (PAR_SS_DR_MAX_RANK - i) > (small_rank - 1) ) {
block[i] = 1;
} else {
block[i] = edge_size;
}
}
/* zero out the in memory large ds */
HDmemset(large_ds_buf_1, 0, sizeof(uint32_t) * large_ds_size);
#if CONTIG_HYPERSLAB_DR_PIO_TEST__RUN_TEST__DEBUG
HDfprintf(stdout,
"%s writing process checkerboard selections of slices of small ds to process slices of large ds on disk.\n",
fcnName);
#endif
if ( PAR_SS_DR_MAX_RANK - large_rank == 0 ) {
i = mpi_rank;
} else {
i = 0;
}
/* since large_rank is at most PAR_SS_DR_MAX_RANK, no need to
* loop over it -- either we are setting i to mpi_rank, or
* we are setting it to zero. It will not change during the
* test.
*/
if ( PAR_SS_DR_MAX_RANK - large_rank == 1 ) {
j = mpi_rank;
} else {
j = 0;
}
do {
if ( PAR_SS_DR_MAX_RANK - large_rank == 2 ) {
k = mpi_rank;
} else {
k = 0;
}
do {
/* since small rank >= 2 and large_rank > small_rank, we
* have large_rank >= 3. Since PAR_SS_DR_MAX_RANK == 5
* (baring major re-orgaization), this gives us:
*
* (PAR_SS_DR_MAX_RANK - large_rank) <= 2
*
* so no need to repeat the test in the outer loops --
* just set l = 0.
*/
l = 0;
do {
/* we know that small_rank >= 1 and that large_rank > small_rank
* by the assertions at the head of this function. Thus no
* need for another inner loop.
*/
/* Zero out this processes slice of the on disk large data set.
* Note that this will leave one slice with its original data
* as there is one more slice than processes.
*/
ret = H5Dwrite(large_dataset,
H5T_NATIVE_UINT32,
mem_large_ds_sid,
file_large_ds_sid_0,
xfer_plist,
large_ds_buf_2);
VRFY((ret != FAIL), "H5Dwrite() to zero large ds suceeded");
/* select the portion of the in memory large cube to which we
* are going to write data.
*/
start[0] = i;
start[1] = j;
start[2] = k;
start[3] = l;
start[4] = 0;
HDassert( ( start[0] == 0 ) || ( 0 < small_ds_offset + 1 ) );
HDassert( ( start[1] == 0 ) || ( 1 < small_ds_offset + 1 ) );
HDassert( ( start[2] == 0 ) || ( 2 < small_ds_offset + 1 ) );
HDassert( ( start[3] == 0 ) || ( 3 < small_ds_offset + 1 ) );
HDassert( ( start[4] == 0 ) || ( 4 < small_ds_offset + 1 ) );
checker_board_hyperslab_dr_pio_test__select_checker_board
(
mpi_rank,
file_large_ds_sid_1,
large_rank,
edge_size,
checker_edge_size,
small_rank - 1,
start
);
/* verify that H5S_select_shape_same() reports the in
* memory small data set slice selection and the
* on disk slice through the large data set selection
* as having the same shape.
*/
check = H5S_select_shape_same_test(mem_small_ds_sid,
file_large_ds_sid_1);
VRFY((check == TRUE), "H5S_select_shape_same_test passed");
/* write the small data set slice from memory to the
* target slice of the disk data set
*/
#if CHECKER_BOARD_HYPERSLAB_DR_PIO_TEST__RUN_TEST__DEBUG
HDfprintf(stdout, "%s:%d: start = %d %d %d %d %d.\n",
fcnName, mpi_rank,
start[0], start[1], start[2], start[3], start[4]);
HDfprintf(stdout, "%s:%d: mem/file extent dims = %d/%d.\n",
fcnName, mpi_rank,
H5Sget_simple_extent_ndims(mem_small_ds_sid),
H5Sget_simple_extent_ndims(file_large_ds_sid_1));
#endif
ret = H5Dwrite(large_dataset,
H5T_NATIVE_UINT32,
mem_small_ds_sid,
file_large_ds_sid_1,
xfer_plist,
small_ds_buf_0);
VRFY((ret != FAIL),
"H5Dwrite of small ds slice to large ds succeeded");
/* read this processes slice on the on disk large
* data set into memory.
*/
ret = H5Dread(large_dataset,
H5T_NATIVE_UINT32,
mem_large_ds_sid,
file_large_ds_sid_0,
xfer_plist,
large_ds_buf_1);
VRFY((ret != FAIL),
"H5Dread() of process slice of large ds succeeded");
/* verify that the expected data and only the
* expected data was read.
*/
ptr_1 = large_ds_buf_1;
expected_value = (uint32_t)(mpi_rank) * small_ds_slice_size;
start_index = (i * edge_size * edge_size * edge_size * edge_size) +
(j * edge_size * edge_size * edge_size) +
(k * edge_size * edge_size) +
(l * edge_size);
stop_index = start_index + (int)small_ds_slice_size - 1;
HDassert( 0 <= start_index );
HDassert( start_index < stop_index );
HDassert( stop_index < (int)large_ds_size );
mis_match = FALSE;
data_ok = TRUE;
for ( n = 0; n < start_index; n++ ) {
if ( *(ptr_1 + n) != 0 ) {
data_ok = FALSE;
*(ptr_1 + n) = 0;
}
}
data_ok &= checker_board_hyperslab_dr_pio_test__verify_data
(
ptr_1 + start_index,
small_rank - 1,
edge_size,
checker_edge_size,
expected_value,
(hbool_t)TRUE
);
for ( n = stop_index; n < small_ds_size; n++ ) {
if ( *(ptr_1 + n) != 0 ) {
data_ok = FALSE;
*(ptr_1 + n) = 0;
}
}
VRFY((data_ok == TRUE),
"small ds cb slice write to large ds slice data good.");
l++;
} while ( ( large_rank > 2 ) &&
( (small_rank - 1) <= 1 ) &&
( l < edge_size ) );
k++;
} while ( ( large_rank > 3 ) &&
( (small_rank - 1) <= 2 ) &&
( k < edge_size ) );
j++;
} while ( ( large_rank > 4 ) &&
( (small_rank - 1) <= 3 ) &&
( j < edge_size ) );
/* Close dataspaces */
ret = H5Sclose(full_mem_small_ds_sid);
VRFY((ret != FAIL), "H5Sclose(full_mem_small_ds_sid) succeeded");
ret = H5Sclose(full_file_small_ds_sid);
VRFY((ret != FAIL), "H5Sclose(full_file_small_ds_sid) succeeded");
ret = H5Sclose(mem_small_ds_sid);
VRFY((ret != FAIL), "H5Sclose(mem_small_ds_sid) succeeded");
ret = H5Sclose(file_small_ds_sid_0);
VRFY((ret != FAIL), "H5Sclose(file_small_ds_sid_0) succeeded");
ret = H5Sclose(file_small_ds_sid_1);
VRFY((ret != FAIL), "H5Sclose(file_small_ds_sid_1) succeeded");
ret = H5Sclose(small_ds_slice_sid);
VRFY((ret != FAIL), "H5Sclose(small_ds_slice_sid) succeeded");
ret = H5Sclose(full_mem_large_ds_sid);
VRFY((ret != FAIL), "H5Sclose(full_mem_large_ds_sid) succeeded");
ret = H5Sclose(full_file_large_ds_sid);
VRFY((ret != FAIL), "H5Sclose(full_file_large_ds_sid) succeeded");
ret = H5Sclose(mem_large_ds_sid);
VRFY((ret != FAIL), "H5Sclose(mem_large_ds_sid) succeeded");
ret = H5Sclose(file_large_ds_sid_0);
VRFY((ret != FAIL), "H5Sclose(mem_large_ds_sid) succeeded");
ret = H5Sclose(file_large_ds_sid_1);
VRFY((ret != FAIL), "H5Sclose(mem_large_ds_sid) succeeded");
ret = H5Sclose(mem_large_ds_process_slice_sid);
VRFY((ret != FAIL), "H5Sclose(mem_large_ds_process_slice_sid) succeeded");
ret = H5Sclose(file_large_ds_process_slice_sid);
VRFY((ret != FAIL), "H5Sclose(file_large_ds_process_slice_sid) succeeded");
ret = H5Sclose(large_ds_slice_sid);
VRFY((ret != FAIL), "H5Sclose(large_ds_slice_sid) succeeded");
/* Close Datasets */
ret = H5Dclose(small_dataset);
VRFY((ret != FAIL), "H5Dclose(small_dataset) succeeded");
ret = H5Dclose(large_dataset);
VRFY((ret != FAIL), "H5Dclose(large_dataset) succeeded");
/* close the file collectively */
MESG("about to close file.");
ret = H5Fclose(fid);
VRFY((ret != FAIL), "file close succeeded");
/* Free memory buffers */
if ( small_ds_buf_0 != NULL ) HDfree(small_ds_buf_0);
if ( small_ds_buf_1 != NULL ) HDfree(small_ds_buf_1);
if ( small_ds_buf_2 != NULL ) HDfree(small_ds_buf_2);
if ( small_ds_slice_buf != NULL ) HDfree(small_ds_slice_buf);
if ( large_ds_buf_0 != NULL ) HDfree(large_ds_buf_0);
if ( large_ds_buf_1 != NULL ) HDfree(large_ds_buf_1);
if ( large_ds_buf_2 != NULL ) HDfree(large_ds_buf_2);
if ( large_ds_slice_buf != NULL ) HDfree(large_ds_slice_buf);
return;
} /* checker_board_hyperslab_dr_pio_test__run_test() */
/*-------------------------------------------------------------------------
* Function: checker_board_hyperslab_dr_pio_test()
*
* Purpose: Test I/O to/from hyperslab selections of different rank in
* the parallel case.
*
* Return: void
*
* Programmer: JRM -- 9/18/09
*
* Modifications:
*
* Modified function to take a sample of the run times
* of the different tests, and skip some of them if
* run times are too long.
*
* We need to do this because Lustre runns very slowly
* if two or more processes are banging on the same
* block of memory.
* JRM -- 9/10/10
*
*-------------------------------------------------------------------------
*/
void
checker_board_hyperslab_dr_pio_test(ShapeSameTestMethods sstest_type)
{
int test_num = 0;
int edge_size = 10;
int checker_edge_size = 3;
int chunk_edge_size = 0;
int small_rank = 3;
int large_rank = 4;
int skips[4] = {0, 0, 0, 0};
int skip_counters[4] = {0, 0, 0, 0};
int tests_skiped[4] = {0, 0, 0, 0};
int mpi_result;
hid_t dset_type = H5T_NATIVE_UINT;
#ifdef H5_HAVE_GETTIMEOFDAY
hbool_t time_tests = TRUE;
hbool_t display_skips = FALSE;
int local_express_test;
int express_test;
int i;
int samples = 0;
int sample_size = 1;
int mpi_size = -1;
int mpi_rank = -1;
int local_skips[4];
const int ind_contig_idx = 0;
const int col_contig_idx = 1;
const int ind_chunked_idx = 2;
const int col_chunked_idx = 3;
const int test_types = 4;
long long max_test_time = 3000000; /* for one test */
long long sample_times[4] = {0, 0, 0, 0};
struct timeval timeval_a;
struct timeval timeval_b;
MPI_Comm_size(MPI_COMM_WORLD, &mpi_size);
MPI_Comm_rank(MPI_COMM_WORLD, &mpi_rank);
#endif /* H5_HAVE_GETTIMEOFDAY */
local_express_test = GetTestExpress();
HDcompile_assert(sizeof(uint32_t) == sizeof(unsigned));
mpi_result = MPI_Allreduce((void *)&local_express_test,
(void *)&express_test,
1,
MPI_INT,
MPI_MAX,
MPI_COMM_WORLD);
VRFY((mpi_result == MPI_SUCCESS ), "MPI_Allreduce(0) succeeded");
#if 0
{
int DebugWait = 1;
while (DebugWait) ;
}
#endif
for ( large_rank = 3; large_rank <= PAR_SS_DR_MAX_RANK; large_rank++ ) {
for ( small_rank = 2; small_rank < large_rank; small_rank++ ) {
chunk_edge_size = 0;
/* contiguous data set, independent I/O */
if ( skip_counters[ind_contig_idx] < skips[ind_contig_idx] ) {
skip_counters[ind_contig_idx]++;
tests_skiped[ind_contig_idx]++;
} else {
skip_counters[ind_contig_idx] = 0;
START_TIMER(time_tests, timeval_a, "HDgettimeofday(0) succeeds.");
checker_board_hyperslab_dr_pio_test__run_test(test_num,
edge_size,
checker_edge_size,
chunk_edge_size,
small_rank,
large_rank,
FALSE,
dset_type,
express_test);
STOP_TIMER_AND_UPDATE(time_tests, timeval_b, \
"HDgettimeofday(1) succeeds.", \
sample_times[ind_contig_idx]);
}
test_num++;
/* contiguous data set, collective I/O */
if ( skip_counters[col_contig_idx] < skips[col_contig_idx] ) {
skip_counters[col_contig_idx]++;
tests_skiped[col_contig_idx]++;
} else {
skip_counters[col_contig_idx] = 0;
START_TIMER(time_tests, timeval_a, "HDgettimeofday(2) succeeds.");
checker_board_hyperslab_dr_pio_test__run_test(test_num,
edge_size,
checker_edge_size,
chunk_edge_size,
small_rank,
large_rank,
TRUE,
dset_type,
express_test);
STOP_TIMER_AND_UPDATE(time_tests, timeval_b, \
"HDgettimeofday(3) succeeds.", \
sample_times[col_contig_idx]);
}
test_num++;
chunk_edge_size = 5;
/* chunked data set, independent I/O */
if ( skip_counters[ind_chunked_idx] < skips[ind_chunked_idx] ) {
skip_counters[ind_chunked_idx]++;
tests_skiped[ind_chunked_idx]++;
} else {
skip_counters[ind_chunked_idx] = 0;
START_TIMER(time_tests, timeval_a, "HDgettimeofday(4) succeeds.");
checker_board_hyperslab_dr_pio_test__run_test(test_num,
edge_size,
checker_edge_size,
chunk_edge_size,
small_rank,
large_rank,
FALSE,
dset_type,
express_test);
STOP_TIMER_AND_UPDATE(time_tests, timeval_b, \
"HDgettimeofday(5) succeeds.", \
sample_times[ind_chunked_idx]);
}
test_num++;
/* chunked data set, collective I/O */
if ( skip_counters[col_chunked_idx] < skips[col_chunked_idx] ) {
skip_counters[col_chunked_idx]++;
tests_skiped[col_chunked_idx]++;
} else {
skip_counters[col_chunked_idx] = 0;
START_TIMER(time_tests, timeval_a, "HDgettimeofday(6) succeeds.");
checker_board_hyperslab_dr_pio_test__run_test(test_num,
edge_size,
checker_edge_size,
chunk_edge_size,
small_rank,
large_rank,
TRUE,
dset_type,
express_test);
STOP_TIMER_AND_UPDATE(time_tests, timeval_b, \
"HDgettimeofday(7) succeeds.", \
sample_times[col_chunked_idx]);
}
test_num++;
#ifdef H5_HAVE_GETTIMEOFDAY
if ( time_tests ) {
samples++;
if ( samples >= sample_size ) {
int result;
time_tests = FALSE;
max_test_time = ((long long)sample_size) * max_test_time;
for ( i = 0; i < test_types; i++ ) {
if ( ( express_test == 0 ) ||
( sample_times[i] <= max_test_time ) ) {
local_skips[i] = 0;
} else {
local_skips[i] = (int)(sample_times[i] / max_test_time);
}
}
/* do an MPI_Allreduce() with the skips vector to ensure that
* all processes agree on its contents.
*/
result = MPI_Allreduce((void *)local_skips,
(void *)skips,
test_types,
MPI_INT,
MPI_MAX,
MPI_COMM_WORLD);
VRFY((result == MPI_SUCCESS ), "MPI_Allreduce() succeeded");
}
}
#endif /* H5_HAVE_GETTIMEOFDAY */
}
}
#ifdef H5_HAVE_GETTIMEOFDAY
if ( ( MAINPROCESS ) && ( display_skips ) ) {
HDfprintf(stdout, "***********************************\n");
HDfprintf(stdout, "express test = %d.\n", express_test);
HDfprintf(stdout, "sample_size = %d, max_test_time = %lld.\n",
sample_size, max_test_time);
HDfprintf(stdout, "sample_times[] = %lld, %lld, %lld, %lld.\n",
sample_times[ind_contig_idx],
sample_times[col_contig_idx],
sample_times[ind_chunked_idx],
sample_times[col_chunked_idx]);
HDfprintf(stdout, "skips[] = %d, %d, %d, %d.\n",
skips[ind_contig_idx],
skips[col_contig_idx],
skips[ind_chunked_idx],
skips[col_chunked_idx]);
HDfprintf(stdout, "tests_skiped[] = %d, %d, %d, %d.\n",
tests_skiped[ind_contig_idx],
tests_skiped[col_contig_idx],
tests_skiped[ind_chunked_idx],
tests_skiped[col_chunked_idx]);
HDfprintf(stdout, "test_num = %d.\n", test_num);
HDfprintf(stdout, "***********************************\n");
}
#endif /* H5_HAVE_GETTIMEOFDAY */
return;
} /* checker_board_hyperslab_dr_pio_test() */
/* Main Body. Here for now, may have to move them to a separated file later. */
/*
* Main driver of the Parallel HDF5 tests
*/
#include "testphdf5.h"
#ifndef PATH_MAX
#define PATH_MAX 512
#endif /* !PATH_MAX */
/* global variables */
int dim0;
int dim1;
int chunkdim0;
int chunkdim1;
int nerrors = 0; /* errors count */
int ndatasets = 300; /* number of datasets to create*/
int ngroups = 512; /* number of groups to create in root
* group. */
int facc_type = FACC_MPIO; /*Test file access type */
int dxfer_coll_type = DXFER_COLLECTIVE_IO;
H5E_auto2_t old_func; /* previous error handler */
void *old_client_data; /* previous error handler arg.*/
/* other option flags */
/* FILENAME and filenames must have the same number of names.
* Use PARATESTFILE in general and use a separated filename only if the file
* created in one test is accessed by a different test.
* filenames[0] is reserved as the file name for PARATESTFILE.
*/
#define NFILENAME 2
#define PARATESTFILE filenames[0]
const char *FILENAME[NFILENAME]={
"ShapeSameTest",
NULL};
char filenames[NFILENAME][PATH_MAX];
hid_t fapl; /* file access property list */
#ifdef USE_PAUSE
/* pause the process for a moment to allow debugger to attach if desired. */
/* Will pause more if greenlight file is not persent but will eventually */
/* continue. */
#include <sys/types.h>
#include <sys/stat.h>
void pause_proc(void)
{
int pid;
h5_stat_t statbuf;
char greenlight[] = "go";
int maxloop = 10;
int loops = 0;
int time_int = 10;
/* mpi variables */
int mpi_size, mpi_rank;
int mpi_namelen;
char mpi_name[MPI_MAX_PROCESSOR_NAME];
pid = getpid();
MPI_Comm_size(MPI_COMM_WORLD, &mpi_size);
MPI_Comm_rank(MPI_COMM_WORLD, &mpi_rank);
MPI_Get_processor_name(mpi_name, &mpi_namelen);
if (MAINPROCESS)
while ((stat(greenlight, &statbuf) == -1) && loops < maxloop){
if (!loops++){
printf("Proc %d (%*s, %d): to debug, attach %d\n",
mpi_rank, mpi_namelen, mpi_name, pid, pid);
}
printf("waiting(%ds) for file %s ...\n", time_int, greenlight);
fflush(stdout);
sleep(time_int);
}
MPI_Barrier(MPI_COMM_WORLD);
}
/* Use the Profile feature of MPI to call the pause_proc() */
int MPI_Init(int *argc, char ***argv)
{
int ret_code;
ret_code=PMPI_Init(argc, argv);
pause_proc();
return (ret_code);
}
#endif /* USE_PAUSE */
/*
* Show command usage
*/
static void
usage(void)
{
printf(" [-r] [-w] [-m<n_datasets>] [-n<n_groups>] "
"[-o] [-f <prefix>] [-d <dim0> <dim1>]\n");
printf("\t-m<n_datasets>"
"\tset number of datasets for the multiple dataset test\n");
printf("\t-n<n_groups>"
"\tset number of groups for the multiple group test\n");
printf("\t-f <prefix>\tfilename prefix\n");
printf("\t-2\t\tuse Split-file together with MPIO\n");
printf("\t-p\t\tuse combo MPI-POSIX driver\n");
printf("\t-d <factor0> <factor1>\tdataset dimensions factors. Defaults (%d,%d)\n",
ROW_FACTOR, COL_FACTOR);
printf("\t-c <dim0> <dim1>\tdataset chunk dimensions. Defaults (dim0/10,dim1/10)\n");
printf("\n");
}
/*
* parse the command line options
*/
static int
parse_options(int argc, char **argv)
{
int mpi_size, mpi_rank; /* mpi variables */
MPI_Comm_size(MPI_COMM_WORLD, &mpi_size);
MPI_Comm_rank(MPI_COMM_WORLD, &mpi_rank);
/* setup default chunk-size. Make sure sizes are > 0 */
chunkdim0 = (dim0+9)/10;
chunkdim1 = (dim1+9)/10;
while (--argc){
if (**(++argv) != '-'){
break;
}else{
switch(*(*argv+1)){
case 'm': ndatasets = atoi((*argv+1)+1);
if (ndatasets < 0){
nerrors++;
return(1);
}
break;
case 'n': ngroups = atoi((*argv+1)+1);
if (ngroups < 0){
nerrors++;
return(1);
}
break;
case 'f': if (--argc < 1) {
nerrors++;
return(1);
}
if (**(++argv) == '-') {
nerrors++;
return(1);
}
paraprefix = *argv;
break;
case 'p': /* Use the MPI-POSIX driver access */
facc_type = FACC_MPIPOSIX;
break;
case 'i': /* Collective MPI-IO access with independent IO */
dxfer_coll_type = DXFER_INDEPENDENT_IO;
break;
case '2': /* Use the split-file driver with MPIO access */
/* Can use $HDF5_METAPREFIX to define the */
/* meta-file-prefix. */
facc_type = FACC_MPIO | FACC_SPLIT;
break;
case 'd': /* dimensizes */
if (--argc < 2){
nerrors++;
return(1);
}
dim0 = atoi(*(++argv))*mpi_size;
argc--;
dim1 = atoi(*(++argv))*mpi_size;
/* set default chunkdim sizes too */
chunkdim0 = (dim0+9)/10;
chunkdim1 = (dim1+9)/10;
break;
case 'c': /* chunk dimensions */
if (--argc < 2){
nerrors++;
return(1);
}
chunkdim0 = atoi(*(++argv));
argc--;
chunkdim1 = atoi(*(++argv));
break;
case 'h': /* print help message--return with nerrors set */
return(1);
default: printf("Illegal option(%s)\n", *argv);
nerrors++;
return(1);
}
}
} /*while*/
/* check validity of dimension and chunk sizes */
if (dim0 <= 0 || dim1 <= 0){
printf("Illegal dim sizes (%d, %d)\n", dim0, dim1);
nerrors++;
return(1);
}
if (chunkdim0 <= 0 || chunkdim1 <= 0){
printf("Illegal chunkdim sizes (%d, %d)\n", chunkdim0, chunkdim1);
nerrors++;
return(1);
}
/* Make sure datasets can be divided into equal portions by the processes */
if ((dim0 % mpi_size) || (dim1 % mpi_size)){
if (MAINPROCESS)
printf("dim0(%d) and dim1(%d) must be multiples of processes(%d)\n",
dim0, dim1, mpi_size);
nerrors++;
return(1);
}
/* compose the test filenames */
{
int i, n;
n = sizeof(FILENAME)/sizeof(FILENAME[0]) - 1; /* exclude the NULL */
for (i=0; i < n; i++)
if (h5_fixname(FILENAME[i],fapl,filenames[i],sizeof(filenames[i]))
== NULL){
printf("h5_fixname failed\n");
nerrors++;
return(1);
}
printf("Test filenames are:\n");
for (i=0; i < n; i++)
printf(" %s\n", filenames[i]);
}
return(0);
}
/*
* Create the appropriate File access property list
*/
hid_t
create_faccess_plist(MPI_Comm comm, MPI_Info info, int l_facc_type,
hbool_t use_gpfs)
{
hid_t ret_pl = -1;
herr_t ret; /* generic return value */
int mpi_rank; /* mpi variables */
/* need the rank for error checking macros */
MPI_Comm_rank(MPI_COMM_WORLD, &mpi_rank);
ret_pl = H5Pcreate (H5P_FILE_ACCESS);
VRFY((ret_pl >= 0), "H5P_FILE_ACCESS");
if (l_facc_type == FACC_DEFAULT)
return (ret_pl);
if (l_facc_type == FACC_MPIO){
/* set Parallel access with communicator */
ret = H5Pset_fapl_mpio(ret_pl, comm, info);
VRFY((ret >= 0), "");
return(ret_pl);
}
if (l_facc_type == (FACC_MPIO | FACC_SPLIT)){
hid_t mpio_pl;
mpio_pl = H5Pcreate (H5P_FILE_ACCESS);
VRFY((mpio_pl >= 0), "");
/* set Parallel access with communicator */
ret = H5Pset_fapl_mpio(mpio_pl, comm, info);
VRFY((ret >= 0), "");
/* setup file access template */
ret_pl = H5Pcreate (H5P_FILE_ACCESS);
VRFY((ret_pl >= 0), "");
/* set Parallel access with communicator */
ret = H5Pset_fapl_split(ret_pl, ".meta", mpio_pl, ".raw", mpio_pl);
VRFY((ret >= 0), "H5Pset_fapl_split succeeded");
H5Pclose(mpio_pl);
return(ret_pl);
}
if (l_facc_type == FACC_MPIPOSIX) {
/* set Parallel access with communicator */
ret = H5Pset_fapl_mpiposix(ret_pl, comm, use_gpfs);
VRFY((ret >= 0), "H5Pset_fapl_mpiposix succeeded");
return(ret_pl);
}
/* unknown file access types */
return (ret_pl);
}
/* Shape Same test using contigous hyperslab using independent IO on contigous datasets */
static void
sscontig1(void)
{
contig_hyperslab_dr_pio_test(IND_CONTIG);
}
/* Shape Same test using contigous hyperslab using collective IO on contigous datasets */
static void
sscontig2(void)
{
contig_hyperslab_dr_pio_test(COL_CONTIG);
}
/* Shape Same test using contigous hyperslab using independent IO on chunked datasets */
static void
sscontig3(void)
{
contig_hyperslab_dr_pio_test(IND_CHUNKED);
}
/* Shape Same test using contigous hyperslab using collective IO on chunked datasets */
static void
sscontig4(void)
{
contig_hyperslab_dr_pio_test(COL_CHUNKED);
}
int main(int argc, char **argv)
{
int mpi_size, mpi_rank; /* mpi variables */
H5Ptest_param_t ndsets_params, ngroups_params;
H5Ptest_param_t collngroups_params;
H5Ptest_param_t io_mode_confusion_params;
H5Ptest_param_t rr_obj_flush_confusion_params;
/* Un-buffer the stdout and stderr */
setbuf(stderr, NULL);
setbuf(stdout, NULL);
MPI_Init(&argc, &argv);
MPI_Comm_size(MPI_COMM_WORLD, &mpi_size);
MPI_Comm_rank(MPI_COMM_WORLD, &mpi_rank);
dim0 = ROW_FACTOR*mpi_size;
dim1 = COL_FACTOR*mpi_size;
if (MAINPROCESS){
printf("===================================\n");
printf("Shape Same Tests Start\n");
printf("===================================\n");
}
/* Attempt to turn off atexit post processing so that in case errors
* happen during the test and the process is aborted, it will not get
* hang in the atexit post processing in which it may try to make MPI
* calls. By then, MPI calls may not work.
*/
if (H5dont_atexit() < 0){
printf("Failed to turn off atexit processing. Continue.\n", mpi_rank);
};
H5open();
h5_show_hostname();
/* Initialize testing framework */
TestInit(argv[0], usage, parse_options);
/* Shape Same tests using contigous hyperslab */
AddTest("sscontig1", sscontig1, NULL,
"Shape Same test, contigous hyperslab, ind IO, contig datasets", PARATESTFILE);
AddTest("sscontig2", sscontig2, NULL,
"Shape Same test, contigous hyperslab, col IO, contig datasets", PARATESTFILE);
AddTest("sscontig3", sscontig3, NULL,
"Shape Same test, contigous hyperslab, ind IO, chunked datasets", PARATESTFILE);
AddTest("sscontig4", sscontig4, NULL,
"Shape Same test, contigous hyperslab, col IO, chunked datasets", PARATESTFILE);
/* Shape Same tests using checker board hyperslab */
AddTest("cbhsssdrpio",
checker_board_hyperslab_dr_pio_test, NULL,
"checker board hyperslab shape same different rank PIO",PARATESTFILE);
/* Display testing information */
TestInfo(argv[0]);
/* setup file access property list */
fapl = H5Pcreate (H5P_FILE_ACCESS);
H5Pset_fapl_mpio(fapl, MPI_COMM_WORLD, MPI_INFO_NULL);
/* Parse command line arguments */
TestParseCmdLine(argc, argv);
if (facc_type == FACC_MPIPOSIX && MAINPROCESS){
printf("===================================\n"
" Using MPIPOSIX driver\n"
"===================================\n");
}
if (dxfer_coll_type == DXFER_INDEPENDENT_IO && MAINPROCESS){
printf("===================================\n"
" Using Independent I/O with file set view to replace collective I/O \n"
"===================================\n");
}
/* Perform requested testing */
PerformTests();
/* make sure all processes are finished before final report, cleanup
* and exit.
*/
MPI_Barrier(MPI_COMM_WORLD);
/* Display test summary, if requested */
if (MAINPROCESS && GetTestSummary())
TestSummary();
/* Clean up test files */
h5_cleanup(FILENAME, fapl);
nerrors += GetTestNumErrs();
/* Gather errors from all processes */
{
int temp;
MPI_Allreduce(&nerrors, &temp, 1, MPI_INT, MPI_MAX, MPI_COMM_WORLD);
nerrors=temp;
}
if (MAINPROCESS){ /* only process 0 reports */
printf("===================================\n");
if (nerrors)
printf("***PHDF5 tests detected %d errors***\n", nerrors);
else
printf("PHDF5 tests finished with no errors\n");
printf("===================================\n");
}
/* close HDF5 library */
H5close();
/* MPI_Finalize must be called AFTER H5close which may use MPI calls */
MPI_Finalize();
/* cannot just return (nerrors) because exit code is limited to 1byte */
return(nerrors!=0);
}
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