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authorjhendersonHDF <jhenderson@hdfgroup.org>2023-10-24 02:06:44 (GMT)
committerGitHub <noreply@github.com>2023-10-24 02:06:44 (GMT)
commitaf49eb5b8647e8d9ffb527fd533def0910eb535c (patch)
treef4f368a972fd547b3a04b3c9682758c148c3dcff /release_docs/RELEASE.txt
parentceb03358a1d713078ae36bfff07be62b433d970a (diff)
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Fix hangs during collective I/O with independent metadata writes (#3693)
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diff --git a/release_docs/RELEASE.txt b/release_docs/RELEASE.txt
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+++ b/release_docs/RELEASE.txt
@@ -392,6 +392,25 @@ Bug Fixes since HDF5-1.14.0 release
===================================
Library
-------
+ - Fixed potential hangs in parallel library during collective I/O with
+ independent metadata writes
+
+ When performing collective parallel writes to a dataset where metadata
+ writes are requested as (or left as the default setting of) independent,
+ hangs could potentially occur during metadata cache sync points. This
+ was due to incorrect management of the internal state tracking whether
+ an I/O operation should be collective or not, causing the library to
+ attempt collective writes of metadata when they were meant to be
+ independent writes. During the metadata cache sync points, if the number
+ of cache entries being flushed was a multiple of the number of MPI ranks
+ in the MPI communicator used to access the HDF5 file, an equal amount of
+ collective MPI I/O calls were made and the dataset write call would be
+ successful. However, when the number of cache entries being flushed was
+ NOT a multiple of the number of MPI ranks, the ranks with more entries
+ than others would get stuck in an MPI_File_set_view call, while other
+ ranks would get stuck in a post-write MPI_Barrier call. This issue has
+ been fixed by correctly switching to independent I/O temporarily when
+ writing metadata independently during collective dataset I/O.
- Dropped support for MPI-2