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Darshan users,</div>
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We are pleased to announce a pre-release version of Darshan 3.4.0 (3.4.0-pre1) is now available
<a href="https://ftp.mcs.anl.gov/pub/darshan/releases/darshan-3.4.0-pre1.tar.gz" data-auth="NotApplicable" title="https://ftp.mcs.anl.gov/pub/darshan/releases/darshan-3.4.0-pre1.tar.gz">
HERE</a>. As always, please be aware that Darshan pre-releases are experimental and not recommended for full-time use in production yet. An official 3.4.0 release will be made available soon.<br>
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This release contains a number of exciting new features and enhancements to Darshan:</div>
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<li>Added new heatmap module to record per-process histograms of I/O activity over time for POSIX, MPI-IO, and STDIO modules</li><li>Added comprehensive darshan-runtime library configuration support, via environment variables and/or configuration file</li><ul>
<li>Allows user to control how much memory Darshan modules use at runtime, restricts instrumentation to specific file name patterns, etc.<br>
</li><li>See the following link for more details: <a href="https://www.mcs.anl.gov/research/projects/darshan/docs/darshan-runtime.html#_configuring_darshan_library_at_runtime" data-auth="NotApplicable" id="LPNoLPOWALinkPreview_1">
https://www.mcs.anl.gov/research/projects/darshan/docs/darshan-runtime.html#_configuring_darshan_library_at_runtime</a><br>
</li></ul>
<li>Implemented performance optimizations to Darshan's wrappers, locking mechanisms, and timing mechanisms</li><ul>
<li>Includes optional RDTSCP-based timers via '--enable-rdtscp' configure option</li></ul>
<li>Removed deprecated performance estimates from darshan-parser and added 2 new derived metrics when using '--perf' :</li><ul>
<li>agg_time_by_slowest (total elapsed time performing I/O by the slowest rank)</li><li>slowest_rank_rw_only_time (total elapsed time performing read/write operations by the slowest rank)<br>
</li></ul>
<li>Adopted automake/libtool support for Darshan build (contributed by Wei-Keng Liao)</li><li>Increased default record name memory to 1 MiB per-process to avoid recent user reports of exceeding old limit (256 KiB)<br>
</li></ul>
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This release also marks our first stable release of the PyDarshan log analysis module, including a new PyDarshan-based job summary tool (ultimately will replace darshan-job-summary script). Users can get PyDarshan directly from PyPI, e.g., using 'pip install
darshan'. Documentation can be found here: <a href="https://www.mcs.anl.gov/research/projects/darshan/documentation/" id="LPNoLPOWALinkPreview">
https://www.mcs.anl.gov/research/projects/darshan/documentation/</a><br>
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Please report any questions, issues, or concerns with this pre-relase using this mailing list, or by opening an issue on our GitHub:
<a href="https://github.com/darshan-hpc/darshan" data-auth="NotApplicable" id="LPlnkOWALinkPreview">
https://github.com/darshan-hpc/darshan</a>.<br>
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Thanks!</div>
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--Darshan team<br>
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