DRDU: A data reuse analysis technique for efficient scratch-pad memory management

  • Authors:
  • Ilya Issenin;Erik Brockmeyer;Miguel Miranda;Nikil Dutt

  • Affiliations:
  • University of California, Irvine, Irvine, CA;IMEC, Leuven, Belgium;IMEC, Leuven, Belgium;University of California, Irvine, Irvine, CA

  • Venue:
  • ACM Transactions on Design Automation of Electronic Systems (TODAES)
  • Year:
  • 2007

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Abstract

In multimedia and other streaming applications, a significant portion of energy is spent on data transfers. Exploiting data reuse opportunities in the application, we can reduce this energy by making copies of frequently used data in a small local memory and replacing speed- and power-inefficient transfers from main off-chip memory by more efficient local data transfers. In this article we present an automated approach for analyzing these opportunities in a program that allows modification of the program to use custom scratch-pad memory configurations comprising a hierarchical set of buffers for local storage of frequently reused data. Using our approach we are able to both reduce energy consumption of the memory subsystem when using a scratch-pad memory by about a factor of two, on average, and improve memory system performance compared to a cache of the same size.