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author | jhendersonHDF <jhenderson@hdfgroup.org> | 2022-03-28 12:31:38 (GMT) |
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committer | GitHub <noreply@github.com> | 2022-03-28 12:31:38 (GMT) |
commit | 95b2c3b96b389a44eadc85c74922f079363720e0 (patch) | |
tree | e5d6a54d33c74b324fa64d6ef95edfc5f8e677cc /release_docs | |
parent | 15971fbd160ab061725f238379cc638ed37f05ef (diff) | |
download | hdf5-95b2c3b96b389a44eadc85c74922f079363720e0.zip hdf5-95b2c3b96b389a44eadc85c74922f079363720e0.tar.gz hdf5-95b2c3b96b389a44eadc85c74922f079363720e0.tar.bz2 |
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>
Diffstat (limited to 'release_docs')
-rw-r--r-- | release_docs/RELEASE.txt | 40 |
1 files changed, 39 insertions, 1 deletions
diff --git a/release_docs/RELEASE.txt b/release_docs/RELEASE.txt index 137fb67..9453508 100644 --- a/release_docs/RELEASE.txt +++ b/release_docs/RELEASE.txt @@ -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: ---------------- |