An integrated approach to parallel program debugging and performance analysis onlarge-scale multiprocessors

  • Authors:
  • Robert J. Fowler;Thomas J. LeBlanc;John M. Mellor-Crummey

  • Affiliations:
  • Univ. of Rochester, Rochester, NY;Univ. of Rochester, Rochester, NY;Univ. of Rochester, Rochester, NY

  • Venue:
  • PADD '88 Proceedings of the 1988 ACM SIGPLAN and SIGOPS workshop on Parallel and distributed debugging
  • Year:
  • 1988

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Abstract

One of the most serious problems in the development cycle of large-scale parallel programs is the lack of tools for debugging and performance analysis. We are addressing the problem on large-scale, shared-memory multiprocessors. We have developed a dynamic, fine-grain characterization of parallel program executions based on a partial order of accesses to shared objects. This characterization forms the basis for an extensible, integrated toolkit for parallel program debugging and performance analysis. Tools in the toolkit include an interactive debugger, a graphical execution browser, performance analysis packages, and a programmable interface for user queries. Using our integrated toolkit approach, programmers can interactively analyze the behavior of parallel programs in much the same way interactive debuggers and profilers are used to analyze the behavior of sequential programs.