Calculating stack distances efficiently

  • Authors:
  • George Almási;Cǎlin Caşcaval;David A. Padua

  • Affiliations:
  • University of Illinois at Urbana-Champaign;University of Illinois at Urbana-Champaign;University of Illinois at Urbana-Champaign

  • Venue:
  • Proceedings of the 2002 workshop on Memory system performance
  • Year:
  • 2002

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Abstract

This paper1 describes our experience using the stack processing algorithm [6] for estimating the number of cache misses in scientific programs. By using a new data structure and various optimization techniques we obtain instrumented run-times within 50 to 100 times the original optimized run-times of our benchmarks.