Supporting nested OpenMP parallelism in the TAU performance system

Authors:
Alan Morris;Allen D. Malony;Sameer S. Shende
Affiliations:
Performance Research Laboratory, Department of Computer and Information Science, University of Oregon, Eugene, OR;Performance Research Laboratory, Department of Computer and Information Science, University of Oregon, Eugene, OR;Performance Research Laboratory, Department of Computer and Information Science, University of Oregon, Eugene, OR
Venue:
IWOMP'05/IWOMP'06 Proceedings of the 2005 and 2006 international conference on OpenMP shared memory parallel programming
Year:
2005

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Abstract

Nested OpenMP parallelism allows an application to spawn teams of nested threads. This hierarchical nature of thread creation and usage poses problems for performance measurement tools that must determine thread context to properly maintain per-thread performance data. In this paper we describe the problem and a novel solution for identifying threads uniquely. Our approach has been implemented in the TAU performance system and has been successfully used in profiling and tracing OpenMP applications with nested parallelism. We also describe how extensions to the OpenMP standard can help tool developers uniquely identify threads.