[padb-users] Announcing padb version 3.3.

[Ashley Pittman]

I am pleased to announce that version 3.3 of padb, the first official release of padb in over a year, is now ready for use and has been uploaded to the website this evening.

Release 3.3 represents a major step forward in terms of functionality, usability and stability since 3.0 and is a recommended upgrade for all users. Major changes of note are:
- The ability to display variables in tree-based stack traces.
- Proper support for threaded applications, in particular the tree-based stack trace mode now reports each thread in a rank individually and makes a number of trees, one for each target thread-id.
- Significantly better command line parsing, resulting in better error messages and easier configuration.
- Miscellaneous performance improvements, both for absolute job size and for larger process counts within individual nodes.
- Selection of back-end launch mode: it is now possible to target jobs without having to rely on the resource manager to launch in many cases.
- "MPIR" interface support to enable padb to work on many more resource managers which support this standard.
- Solaris port.
- PBS/PBS Pro/Torque support.
- Limited LFS support.

For a full list of changes see the "Revision history" in the source.

Many of these changes were already present in the 3.2 beta releases.  However a number of improvements have been made since the last beta on this branch so existing 3.2 users should also consider upgrading.

The source tarball can be downloaded from the usual downloads page on Google code or directly via:

http://padb.googlecode.com/files/padb-3.3.tar.gz
SHA 1 Checksum: e2ec75f0d78cfff7df1a97f29dab00ddfa24f501

Work has already started on future developments.  As well as supporting an ever increasing number of resource managers, the focus is moving to new modes of operation and better ways of reporting collected information to the user.  My thanks to everyone who has helped make this release what it is; I appreciate all user reports, both good and bad, and hope to be able to continue bringing you improvements to padb in the future.

Ashley Pittman.

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Ashley Pittman, Bath, UK.

Padb - A parallel job inspection tool for cluster computing
http://padb.pittman.org.uk