Critical Path Profiling of Message Passing and Shared-Memory Programs

  • Authors:
  • Jeffrey K. Hollingsworth

  • Affiliations:
  • Univ. of Maryland, College Park

  • Venue:
  • IEEE Transactions on Parallel and Distributed Systems
  • Year:
  • 1998

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Abstract

In this paper, we introduce a runtime, nontrace-based algorithm to compute the critical path profile of the execution of message passing and shared-memory parallel programs. Our algorithm permits starting or stopping the critical path computation during program execution and reporting intermediate values. We also present an online algorithm to compute a variant of critical path, called critical path zeroing, that measures the reduction in application execution time that improving a selected procedure will have. Finally, we present a brief case study to quantify the runtime overhead of our algorithm and to show that online critical path profiling can be used to find program bottlenecks.