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Scientific Programming
Volume 16, Issue 2-3, Pages 105-121

Open | SpeedShop: An Open Source Infrastructure for Parallel Performance Analysis

Martin Schulz,1 Jim Galarowicz,2 Don Maghrak,2 William Hachfeld,2 David Montoya,3 and Scott Cranford4

1Lawrence Livermore National Laboratory, Livermore, CA, USA
2Krell Insititute, Ames, IA, USA
3Los Alamos National Laboratory, Los Alamos, NM, USA
4Sandia National Laboratories, Livermore, CA, USA

Copyright © 2008 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Over the last decades a large number of performance tools has been developed to analyze and optimize high performance applications. Their acceptance by end users, however, has been slow: each tool alone is often limited in scope and comes with widely varying interfaces and workflow constraints, requiring different changes in the often complex build and execution infrastructure of the target application. We started the Open | SpeedShop project about 3 years ago to overcome these limitations and provide efficient, easy to apply, and integrated performance analysis for parallel systems. Open | SpeedShop has two different faces: it provides an interoperable tool set covering the most common analysis steps as well as a comprehensive plugin infrastructure for building new tools. In both cases, the tools can be deployed to large scale parallel applications using DPCL/Dyninst for distributed binary instrumentation. Further, all tools developed within or on top of Open | SpeedShop are accessible through multiple fully equivalent interfaces including an easy-to-use GUI as well as an interactive command line interface reducing the usage threshold for those tools.