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author | jhendersonHDF <jhenderson@hdfgroup.org> | 2023-10-10 15:11:22 (GMT) |
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committer | GitHub <noreply@github.com> | 2023-10-10 15:11:22 (GMT) |
commit | bfbfaf72e17fcc9efa848557a0c57c0583d5c8c4 (patch) | |
tree | 46c6309ab264df8af6bba567713a22bb187baa2f /release_docs | |
parent | 7631015ea4af183c01025c4907869f47f7355c51 (diff) | |
download | hdf5-bfbfaf72e17fcc9efa848557a0c57c0583d5c8c4.zip hdf5-bfbfaf72e17fcc9efa848557a0c57c0583d5c8c4.tar.gz hdf5-bfbfaf72e17fcc9efa848557a0c57c0583d5c8c4.tar.bz2 |
Update parallel compression feature to support multi-dataset I/O (#3591)
Diffstat (limited to 'release_docs')
-rw-r--r-- | release_docs/RELEASE.txt | 11 |
1 files changed, 10 insertions, 1 deletions
diff --git a/release_docs/RELEASE.txt b/release_docs/RELEASE.txt index 2e17415..8bb32fb 100644 --- a/release_docs/RELEASE.txt +++ b/release_docs/RELEASE.txt @@ -258,7 +258,16 @@ New Features Parallel Library: ----------------- - - + - Added optimized support for the parallel compression feature when + using the multi-dataset I/O API routines collectively + + Previously, calling H5Dwrite_multi/H5Dread_multi collectively in parallel + with a list containing one or more filtered datasets would cause HDF5 to + break out of the optimized multi-dataset I/O mode and instead perform I/O + by looping over each dataset in the I/O request. The library has now been + updated to perform I/O in a more optimized manner in this case by first + performing I/O on all the filtered datasets at once and then performing + I/O on all the unfiltered datasets at once. Fortran Library: |