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authorjhendersonHDF <jhenderson@hdfgroup.org>2022-03-28 12:31:38 (GMT)
committerGitHub <noreply@github.com>2022-03-28 12:31:38 (GMT)
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Hdf5 1 12 parallel compression merge (#1529)
* Fix the function cast error in H5Dchunk.c and activate (#1170) `-Werror=cast-function-type`. Again. * Parallel Compression improvements (#1302) * Fix for parallel compression examples on Windows (#1459) * Parallel compression adjustments for HDF5 1.12 * Committing clang-format changes Co-authored-by: David Young <dyoung@hdfgroup.org> Co-authored-by: github-actions <41898282+github-actions[bot]@users.noreply.github.com>
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diff --git a/release_docs/RELEASE.txt b/release_docs/RELEASE.txt
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--- a/release_docs/RELEASE.txt
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@@ -189,8 +189,46 @@ New Features
Parallel Library:
-----------------
- -
+ - Several improvements to parallel compression feature, including:
+
+ * Improved support for collective I/O (for both writes and reads)
+
+ * Significant reduction of memory usage for the feature as a whole
+
+ * Reduction of copying of application data buffers passed to H5Dwrite
+
+ * Addition of support for incremental file space allocation for filtered
+ datasets created in parallel. Incremental file space allocation is the
+ default for these types of datasets (early file space allocation is
+ also still supported), while early file space allocation is still the
+ default (and only supported allocation time) for unfiltered datasets
+ created in parallel. Incremental file space allocation should help with
+ parallel HDF5 applications that wish to use fill values on filtered
+ datasets, but would typically avoid doing so since dataset creation in
+ parallel would often take an excessive amount of time. Since these
+ datasets previously used early file space allocation, HDF5 would
+ allocate space for and write fill values to every chunk in the dataset
+ at creation time, leading to noticeable overhead. Instead, with
+ incremental file space allocation, allocation of file space for chunks
+ and writing of fill values to those chunks will be delayed until each
+ individual chunk is initially written to.
+
+ * Addition of support for HDF5's "don't filter partial edge chunks" flag
+ (https://portal.hdfgroup.org/display/HDF5/H5P_SET_CHUNK_OPTS)
+
+ * Addition of proper support for HDF5 fill values with the feature
+
+ * Addition of 'H5_HAVE_PARALLEL_FILTERED_WRITES' macro to H5pubconf.h
+ so HDF5 applications can determine at compile-time whether the feature
+ is available
+
+ * Addition of simple examples (ph5_filtered_writes.c and
+ ph5_filtered_writes_no_sel.c) under examples directory to demonstrate
+ usage of the feature
+
+ * Improved coverage of regression testing for the feature
+ (JTH - 2022/2/23)
Fortran Library:
----------------