Shared-memory performance profiling

  • Authors:

  • Zhichen Xu;James R. Larus;Barton P. Miller

  • Affiliations:

  • Computer Sciences Department, University of Wisconsin, 1210 West Dayton Street, Madison, WI;Computer Sciences Department, University of Wisconsin, 1210 West Dayton Street, Madison, WI;Computer Sciences Department, University of Wisconsin, 1210 West Dayton Street, Madison, WI

  • Venue:
  • PPOPP '97 Proceedings of the sixth ACM SIGPLAN symposium on Principles and practice of parallel programming
  • Year:
  • 1997

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Abstract

This paper describes a new approach to finding performance bottlenecks in shared-memory parallel programs and its embodiment in the Paradyn Parallel Performance Tools running with the Blizzard fine-grain distributed shared memory system. This approach exploits the underlying system's cache coherence protocol to detect data sharing patterns that indicate potential performance bottlenecks and presents performance measurements in a data-centric manner. As a demonstration, Parodyn helped us improve the performance of a new shared-memory application program by a factor of four.