Phase-based cache reconfiguration for a highly-configurable two-level cache hierarchy

  • Authors:
  • Ann Gordon-Ross;Jeremy Lau;Brad Calder

  • Affiliations:
  • University of Florida, Gainesville, FL, USA;Google Inc, Mountain View, CA, USA;Microsoft Corporation, USA

  • Venue:
  • Proceedings of the 18th ACM Great Lakes symposium on VLSI
  • Year:
  • 2008

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Abstract

Phase-based tuning methodologies specialize system parameters for each application phase of execution. Parameters are varied during execution, as opposed to remaining fixed as in an application-based tuning methodology. Prior work and logic suggests phase-based tuning may provide significant savings over application-based tuning. We investigate this hypothesis using a detailed cache model and tune a highly-configurable cache on a per-phase basis compared to tuning once per application, and found phase-based tuning to yield improvements of up to 37% in performance and 20% in energy over application-based tuning. Furthermore, we extend previous phase-based tuning of a configurable cache by significantly increasing configurability and show 14% energy improvement compared to previous methods. In addition, we quantify the overhead imposed due to cache reconfiguration.