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authorGerd Heber <gheber@hdfgroup.org>2021-11-23 14:05:40 (GMT)
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Next batch of Doxygen updates. (#1180)
* Sketch of the H5S life cycle. * Committing clang-format changes * Fix H5S_UNLIMITED snafu. * Updated RM template and RM page. * Added H5S life cycle. * Committing clang-format changes * Added H5T life cycle. * Committing clang-format changes * Cleaner layout (?) * Cleaned the H5F life cycle. Called out unfinished biz. * Committing clang-format changes * Remaining life cycle skeletons. * Committing clang-format changes * Committing clang-format changes * Added H5Z life cycle. * Committing clang-format changes * Added H5G life cycle. * Committing clang-format changes * H5 and H5I life cycle updates. * Committing clang-format changes * Added H5PL life cycle. * Committing clang-format changes * Added H5L life cycle. * Committing clang-format changes * Fix for Chris' comment. * Add a variable for Doxygen pre-processor definitions. * Forgot to add the H5M API. * Clarify the H5Z life cycle. * Committing clang-format changes * Add H5Zdevelop.h to Doxygen.in. Added H5I life cycle. * Committing clang-format changes * Clarified introduction and fixed missing label declaration. * Added H5O life cycle. * Committing clang-format changes * H5O cleanup, part 1. * Committing clang-format changes * Cleaned up some of the endless repetition in H5O. * Committing clang-format changes * Cookbook & RFC draft layouts. * Updated manifest. * Updated the manifest, the example paths, and sketched the 1st recipe. * Committing clang-format changes * Outlined two more recipes. * Committing clang-format changes * More recipes and RFCs. * Committing clang-format changes * Draft of templatized RFC references. * Another batch of RFC changes. * Another batch of RFCs. * Fixed reference. * RFCs in reverse chronological order. * First cut of RFCs. * Fixed reference. * Updated recipes. * Updated recipes. * More RFCs. * Updated D*PL comments. * Added H5P descriptions. * Committing clang-format changes * H5R life-cycle snapshot. * Committing clang-format changes * H5R life-cycle. Added line numbers to life-cycle examples. * Committing clang-format changes * Fixed formatting for H5Dchunk_iter(). * Added comment on collective mode requirement w/ compression. * Simplified API compat. macro dox. * More API vers. updates. * Hide the async macro entrails. * Latest VFD SWMR RFC. * Create a tag file for permalinks. * Added TODOs for metadoc. * Removed duplication. * Revised RM landing page. * Trimmed more duplication. * Committing clang-format changes * Revised H5D. * Committing clang-format changes * Updated survey link. * Added Doxygen RM entry template link. * Added the "Multi-Thread HDF5" RFC. * Added DOXYGEN_TAG_FILE. * Added selection I/O RFC. * Added the VFD Sub-filing RFC. * Updated meta-documentation and added two old presentations. * Added a few more RFCs (4). * Fixed MANIFEST. * Updated meta-documentation. * Added Filters technical note. * Fixed MANIFEST. * Restore the path stripper. * Experimental full-text search via Google. * Better full-text search integration. * Whoops. Forgot this one. * Oh boy. * Make CMake happy. * Added "Debugging HDF5 Applications" technical note. * Another batch of RFCs. Co-authored-by: github-actions <41898282+github-actions[bot]@users.noreply.github.com>
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+<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
+<!-- saved from url=(0064)https://gamma.hdfgroup.org/papers/HISS/030821.IOFlow/IOFlow.html -->
+<html><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
+ <title>HDF5 Raw I/O Flow Notes</title>
+
+ <meta name="author" content="Quincey Koziol">
+</head>
+
+<body text="#000000" bgcolor="#FFFFFF">
+
+<style type="text/css">
+OL.loweralpha { list-style-type: lower-alpha }
+OL.upperroman { list-style-type: upper-roman }
+</style>
+
+<center><h1>HDF5 Raw I/O Flow Notes</h1></center>
+<center><h3>Quincey Koziol<br>
+ koziol@ncsa.uiuc.edu<br>
+ August 20, 2003
+</h3></center>
+
+<ol class="upperroman">
+
+<li><h3><u>Document's Audience:</u></h3>
+
+<ul>
+ <li>Current H5 library designers and knowledgable external developers.</li>
+</ul>
+
+</li><li><h3><u>Background Reading:</u></h3>
+
+</li><li><h3><u>Introduction:</u></h3>
+
+<dl>
+ <dt><strong>What is this document about?</strong></dt>
+ <dd>This document attempts to supplement the flow charts describing
+ the flow of control for raw data I/O in the library.
+ </dd> <br>
+</dl>
+
+</li><li><h3><u>Figures:</u></h3>
+<p>The following figures provide the main information:</p>
+ <table>
+ <tr><td><img src="IOFlow.gif" alt="High-Level View of Writing Raw Data" style="height:50%;"></td></tr>
+ <tr><td><img src="IOFlow2.gif" alt="Perform Serial or Parallel I/O" style="height:50%;"></td></tr>
+ <tr><td><img src="IOFlow3.gif" alt="Gather/Convert/Scatter" style="height:50%;"></td></tr>
+ </table>
+
+</li><li><h3><u>Notes From Accompanying Figures:</u></h3>
+
+<p>This section provides notes to augment the information in the accompanying
+ figures.
+</p>
+
+<ol>
+ <li><b>Validate Parameters</b> - Resolve any H5S_ALL parameters
+ for dataspace selections to actual dataspaces, allocate
+ conversion buffers, etc.
+ </li>
+
+ <li><b>Space Allocated in File?</b> - Space may not have been allocated
+ in the file to store the dataset data, if "late allocation" was chosen
+ for the allocation time when the dataset was created.
+ </li>
+
+ <li><b>Allocate &amp; Fill Space</b> - These operations allocate both contiguous
+ and chunked dataset's space in the file. The chunked dataset space
+ allocation iterates through all the chunks in the file and allocates
+ both the B-tree information and the raw data in the file. Because of
+ the way filters work, fill-values are written out for chunked datasets
+ as they are allocated, instead of as a separate step.
+ In parallel
+ I/O, the chunked dataset allocation can potentially be time-consuming,
+ since all the raw data in the dataset is allocated from one process.
+ </li>
+
+ <li><b>Datatype Conversion Needed?</b> - This currently is the deciding
+ factor between doing "direct I/O" (in serial or parallel) and needing
+ to perform gather/convert/scatter operations. I believe that MPI
+ is capable of performing a limited range of type conversions and if so,
+ we should add support to detect when they can be used. This will
+ allow more I/O operations to be performed collectively.
+ </li>
+
+ <li><b>Collective I/O Requested/Allowed?</b> - A user has to both request
+ that collective I/O occur and also their I/O operation must meet the
+ requirements that the library sets for supporting collective parallel
+ I/O:
+ <ul>
+ <li>The dataspace must be scalar or simple (which is a no-op really,
+ since we don't support "complex" dataspaces in the library
+ currently).
+ </li>
+ <li>The selection must be regular. "all" selections
+ and hyperslab selections that were
+ made with only one call to H5Sselect_hyperslab() (i.e. not a
+ hyperslab selection that has been aggregated over multiple
+ selection calls) are regular. Supporting point and
+ irregular hyperslab selections are on the "to do" list.
+ </li>
+ <li>The dataset must be stored contiguously on disk (as shown in the
+ figure also). Supporting chunked dataset storage is also
+ on the "to do" list.
+ </li>
+ </ul>
+ </li>
+
+ <li><b>Build "chunk map"</b> - This step still has some scalability issues
+ as it creates a data structure that is proportional to the number of
+ chunks which will be written to, which could potentially be very large.
+ Building the "chunk map" information incrementally is on the "to do"
+ list also.
+ </li>
+
+ <li><b>Perform Chunked I/O</b> - As the figure shows, there is no support
+ for collective parallel I/O on chunked datasets currently. As noted
+ earlier, this is on the "to do" list.
+ </li>
+
+ <li><b>Perform "Direct" Serial I/O</b> - "Direct" serial I/O writes data
+ from the application's buffer, without any intervening buffer or memory
+ copies. For maximum efficiency and performance, the elements in the
+ selections should be adjoining.
+ </li>
+
+ <li><b>Perform Collective Parallel I/O</b> - This step also writes data
+ directly from an application buffer, but additionally uses collective
+ MPI I/O operations to combine the data from each process in the parallel
+ application in an efficient manner.
+ </li>
+</ol>
+
+</li></ol>
+
+
+
+</body></html>