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	SCHEDULE: NOV 11-17, 2006 Patterns in Parallel Programs: Toward High-level Understanding of Large-Scale Traces Session: Poster Reception Event Type: Poster Time: 5:15pm - 7:15pm Author(s): Bernhard Aichinger, Martin Schulz, Dieter Kranzlmueller, Thomas Köckerbauer, Bronis R. de Supinski Location: Ballroom Corridor Abstract: Scalability and complexity of HPC software requires corresponding support from program analysis tools capable of dealing with possibly huge amounts of data. E.g., MPI traces capture low-level communication behavior essential to understand program behavior, but are typically too detailed and large and hence need to be reduced, pre-processed, and mapped to a higher level of abstraction before being comprehensible by human users. One possible approach is to utilize the occurrence of patterns in the execution of a program for the benefits of the user's understanding. Such patterns can be either user-defined or automatically extracted from program traces, requiring minimal interaction from users. This poster describes such an enhanced approach to pattern detection in program traces, which is available within a program analysis framework. In addition, the poster reports about patterns in existing, realistic applications and the pattern detection mechanism to extract useful information about a program's behavior. Chair/Author Details: Bernhard Aichinger Leibniz-Rechenzentrum München Martin Schulz Lawrence Livermore National Laboratory Dieter Kranzlmueller GUP, Joh. Kepler Universität Linz, Austria/Europe Thomas Köckerbauer GUP, Joh. Kepler Universität Linz, Austria/Europe Bronis R. de Supinski Lawrence Livermore National Laboratory
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