Awesome

<img src="https://github.com/LLNL/STAT/raw/develop/STATlogo.gif" alt="STAT Logo"/> STAT: the Stack Trace Analysis Tool

OVERVIEW

The Stack Trace Analysis Tool (STAT) is a highly scalable, lightweight tool that gathers and merges stack traces from all of the processes of a parallel application to form call graph prefix trees. STAT generates two prefix trees termed 2D-trace-space and 3D-trace-space-time. The 2D-trace-space prefix tree is a merge of a single stack trace from each task in the parallel application. The 3D-trace-space-time prefix tree is a merge of several stack traces from each task gathered over time. The latter provides insight into whether tasks are making progress or are in a hang state (livelock, deadlock, infiite loop, etc.). The call graph prefix trees also identify processes equivalence classes, processes exhibitin similar behavior with respect to their call paths. A representative task from each equivalence class can then be fed into a full-featured debugger for root cause analysis at a manageable scale.

STAT's source code also includes STATBench, a tool to emulate STAT. STATBench enables the benchmarking of STAT on arbitrary machine architectures and applications by fully utilizing parallel resources and generating artificial stack traces.

License

STAT is released under the Berkeley Software Distribution (BSD) license. Please see LICENSE for usage terms.

BUILDING STAT

STAT has several dependent libraries that must be installed:

• MRNet
• LaunchMON
• GraphLib
• Dyninst
• libdwarf

In addition, the STAT GUI requires Python with PyGTK, both of which are commonly preinstalled with many Linux operating systems.

Please refer to INSTALL for detailed instructions on building STAT. The reccomended method for building STAT is to use the Spack package manager with the following commands:

git clone https://github.com/spack/spack.git
cd spack
./bin spack install stat

SUPPORTED PLATFORMS

STAT is able to run on any machine where all of the dependent libraries run. This currently includes:

• IBM BlueGene/L
• IBM BlueGene/P
• IBM BlueGene/Q
• x86-based architectures with SLURM
• x86-based architectures with OpenMPI
• Cray XT
• Cray XE
• Cray XK

CONTACT

Please direct any questions to Gregory Lee.