An Evaluation of Page Aggregation Technique on Different DSM Systems

  • Authors:
  • Mario Donato Marino;Geraldo Lino de Campos

  • Affiliations:
  • -;-

  • Venue:
  • ISHPC '00 Proceedings of the Third International Symposium on High Performance Computing
  • Year:
  • 2000

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Abstract

The page aggregation technique consists of considering a larger granularity unit than a page, in a page-based DSM system. In this paper an initial evaluation of the influence of the page aggregation technique in the speedup of a DSM system is done, by applying it in two DSMs: JIAJIA and Nautilus. TreadMarks, a DSM well known by the scientific community, is also included in this comparison as a reference for optimal speedups. Different granularity sizes are considered in this study: 4kB, 8kB, 16kB and 32kB. The benchmarks evaluated in this study are SOR (from Rice University), LU and Water N-Squared (both from SPLASH-II). The first results show that this technique can improve the JIAJIA's speedup by 'up to 4.1% and the Nautilus's speedup by up to 37.7%.