Hardware prediction for data coherency of scientific codes on DSM

  • Authors:
  • J. T. Acquaviva;W. Jalby

  • Affiliations:
  • CEA/DAM, French Atomic Energy Commmission;PRiSM Lab., Versailles University

  • Venue:
  • Proceedings of the 2000 ACM/IEEE conference on Supercomputing
  • Year:
  • 2000

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Abstract

This paper proposes a hardware mechanism for reducing coherency overhead occurring in scientific computations within DSM systems. A first phase aims at detecting, in the address space regular patterns (called streams) of coherency events (such as requests for exclusive, shared or invalidation).Once a stream is detected at a loop level, regularity of data access can be exploited at the loop level (spatial locality) but also between loops (temporal locality). We present a hardware mechanism capable of detecting and exploiting efficiently these regular patterns. Expectable benefits as well as hardware complexity are discussed and the limited drawbacks and potential overheads are exposed. For a benchmarks suite of typical scientific applications results are very promising, both in terms of coherency streams and the effectiveness of our optimizations.