Darshan version 3.4.5 is now officially available for download HERE. This point release includes a couple of important new capabilities and bug fixes:
- Added capability for Darshan’s runtime library to properly shutdown in non-MPI applications that call
_exit()directly- This behavior has been commonly observed in the Python
multiprocessingpackage, which has traditionally prevented Darshan from properly instrumenting applications that use it (e.g., the PyTorch DataLoader)
- This behavior has been commonly observed in the Python
- Added optional integration with the LDMS data/metrics collection system, allowing realtime analysis of Darshan instrumented I/O operations
- For more details, see https://ovis-hpc.readthedocs.io/en/latest/ldms/ldms-streams.html#darshan
- Contributed by Sara Walton (SNL), Ana Luisa Solorzano (Northeastern), and the LDMS team
- Fixed bug preventing instrumentation of
fscanf()calls on some systems - Fixed bug in HDF5 module causing any call to HDF5’s
H5Pset_fapl_mpio()routine to fail
We have also released PyDarshan 3.4.5.0 on PyPI, though this is just to track the 3.4.5 darshan-util library. There are no modifications to PyDarshan functionality.
Documentation for Darshan and PyDarshan is available HERE.
Please report any questions, issues, or concerns with this release using the Darshan-users mailing list or by opening an issue on our GitHub.