Implementing stack simulation for highly-associative memories

  • Authors:
  • Yul H. Kim;Mark D. Hill;David A. Wood

  • Affiliations:
  • -;-;-

  • Venue:
  • SIGMETRICS '91 Proceedings of the 1991 ACM SIGMETRICS conference on Measurement and modeling of computer systems
  • Year:
  • 1991

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Abstract

Prior to this work, all implementations of stack simulation [MGS70] required more than linear time to process an address trace. In particular these implementations are often slow for highly-associative memories and traces with poor locality, as can be found in simulations of tile systems. We describe a new implementation of stack simulation where the refrrenced block and its stack distance are found using a hash table rather than by traversing the stack. The key to this implementation is that designers are rarely interested in a continuum of memory sizes, but instead desire metrics for only a discrete set of alternatives (e.g., powers of two). Our experimental evaluation shows the run-time of the new implementation to be linear in address trace length and independent of trace locality. Kim, et al., [KHW91] present the results of this research in more detail.