Performance instrumentation and measurement for terascale systems

  • Authors:
  • Jack Dongarra;Allen D. Malony;Shirley Moore;Philip Mucci;Sameer Shende

  • Affiliations:
  • Innovative Computing Laboratory, University of Tennessee, Knoxville, TN;Computer Science Department, University of Oregon, Eugene, OR;Innovative Computing Laboratory, University of Tennessee, Knoxville, TN;Computer Science Department, University of Oregon, Eugene, OR;Computer Science Department, University of Oregon, Eugene, OR

  • Venue:
  • ICCS'03 Proceedings of the 2003 international conference on Computational science
  • Year:
  • 2003

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Abstract

As computer systems grow in size and complexity, tool support is needed to facilitate the efficient mapping of large-scale applications onto these systems. To help achieve this mapping, performance analysis tools must provide robust performance observation capabilities at all levels of the system, as well as map low-level behavior to high-level program constructs. Instrumentation and measurement strategies, developed over the last several years, must evolve together with performance analysis infrastructure to address the challenges of new scalable parallel systems.