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We have recently updated the Darshan publications list to include a few more recent studies.  Please let us know if you have used Darshan in your research and would like to have your publication added to the list!

Darshan 2.1.2 is a minor bug fix release to improve error handling in cases where Darshan is unable to write a log file.
Changelog:

• improved error handling when writing log files.  If a write fails on any process then the log file will be deleted and a warning will be printed to stderr.

We are pleased to announce the public release of the Darshan Data Repository.  The Darshan Data Repository is a collection of anonymized I/O characterization data captured from production systems. The first data set to be made available covers three months of activity (as recorded by Darshan) from the Intrepid Blue Gene/P system at the Argonne Leadership Computing Facility.  We hope to add more data in the future.  See the Darshan Publications page for examples of analysis that can be performed with this data.

This release includes performance and bug fixes.  It also includes a new utility to convert Darshan log files, while also optionally anonymizing them or re-compressing them in bzip2 format.
Changelog:

A paper featuring Darshan (“Understanding and Improving Computational Science Storage Access through Continuous Characterization“) was awarded Best Paper at the 27th IEEE (MSST 2011) Symposium on Massive Storage Systems and Technologies.  The paper outlines a methodology for characterizing a large scale production workload and presents a 2 month study of I/O activity on the Intrepid Blue Gene/P system at Argonne National Laboratory.

This release primarily enhances portability and adds the option to use LD_PRELOAD for instrumentation rather than link time wrappers. This release does not add any new instrumentation or change the log file format.
Downloads Page
ChangeLog

• additional environment variables to control log location, jobid and alignment parameters
• additional configure tests to improve portability
• bug fixes for darshan-parser –perf calculations
• support for MPI1.x
• support for OpenMPI
• support for PGI and Intel compilers
• new libdarshan.so dynamic library for use with LD_PRELOAD

Changelog:

• added a random identifier to job logs (to avoid collisions from multiple application instances within a single scheduler job)
• improved installation and library path management for darshan-job-summary.pl
• improved error handling in darshan-job-summary.pl
• additional derived statistics categories for darshan-parser output:
  • ––all   : all sub-options are enabled
  • ––base  : darshan log field data [default]
  • ––file  : total file counts
  • ––perf  : derived perf data
  • ––total : aggregated darshan field data

Changelog:

• bug fix to variance/minimum calculations on shared files
• switch to automatic generation of all MPI compiler scripts using darshan-gen-* tools
• new run time environment variable: DARSHAN_INTERNAL_TIMING. If set at job execution time, it will cause Darshan to time its own internal data aggregation routines and print the results to stdout at rank 0.

The Darshan 2.0.0 release is now available for download.  From a user’s perspective, the biggest difference is that you no longer have to run darshan-parser before darshan-job-summary.pl if you just want to see the summary report for a job.  The darshan-job-summary.pl script operates directly on the binary .gz files now.  We also introduced new characterization counters as well as some additional tables in the summary view.  Here is the full change log:
Changelog:

The Darshan project now has a dedicated mailing list and Trac page.  You can find more information in the “bug reports” tab at the top of the Darshan web site.