Darshan users, Darshan version 3.4.7 is now officially available for download HERE<https://www.mcs.anl.gov/research/projects/darshan/download/ >. This point release most notably includes new modules enabling detailed instrumentation of DAOS storage systems (e.g., on ALCF Aurora): * There are 2 new modules that instrument the DAOS file system interface (DFS) and native object interfaces (DAOS). * Darshan’s heatmap module also now supports capture of I/O activity across both of these new DAOS modules. We have also released PyDarshan 3.4.7.0 on PyPI, which includes the following new capabilities: * New PyDarshan CLI tools for extracting statistics from one or more input log files: * job_stats: Overall job-level I/O statistics for each input Darshan log * file_stats: Overall file-level I/O statistics for application files accessed across each input Darshan log * Each tool offers command line options to control how jobs/files are sorted, statistics output format (CSV or Rich-style printing), Darshan module to analyze, etc. * Support for reading DAOS module data, as well as integrations of DAOS data into PyDarshan summary reports. * Support for PyDarshan ReportObject name filtering, enabling users to provide record name patterns to match when reading data from Darshan logs. * Available via filter_patterns and filter_mode arguments to various ReportObject routines: * filter_patterns: list of regexes to match * filter_mode: “exclude” or “include” records matching provided regexes Documentation for Darshan and PyDarshan is available HERE<https://www.mcs.anl.gov/research/projects/darshan/documentation/ >. Please report any questions, issues, or concerns with this release on our Slack instance, using this mailing list, or by opening an issue on our GitHub<https://urldefense.us/v3/__https://github.com/darshan-hpc/darshan__;!!G_uCfs... >. Thanks! --Darshan team