Empirical study of parallel trace-driven LRU cache simulators

  • Authors:
  • David Nicol;Eric Carr

  • Affiliations:
  • Department of Computer Science, College of William and Mary, Williamsburg, VA;Department of Math and Computer Science, Carleton College, Northfield, MN

  • Venue:
  • PADS '95 Proceedings of the ninth workshop on Parallel and distributed simulation
  • Year:
  • 1995

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Abstract

This paper reports on the performance of four parallel algorithms for simulating an associative cache operating under the LRU (Least-Recently-Used) replacement policy. Three of the algorithms are implemented on the MasPar MP-2. Another algorithm is a parallelization of an efficient serial algorithm on the Intel Paragon. We assess the strengths and weaknesses of these algorithms as a function of problem size and characteristics, and compare their performance on traces derived from execution of three SPEC92 benchmark programs.