Architectural exploration and optimization of local memory in embedded systems

  • Authors:
  • Preeti Ranjan Panda;Nikil D. Dutt;Alexandru Nicolau

  • Affiliations:
  • Department of Information and Computer Science, University of California, Irvine, CA;Department of Information and Computer Science, University of California, Irvine, CA;Department of Information and Computer Science, University of California, Irvine, CA

  • Venue:
  • ISSS '97 Proceedings of the 10th international symposium on System synthesis
  • Year:
  • 1997

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Abstract

Embedded processor-based systems allow for the tailoring of the on-chip memory architecture based on application-specific requirements. We present an analytical strategy for exploring the on-chip memory architecture for a given application, based on a memory performance estimation scheme. The analytical technique has the important advantage of enabling a fast evaluation of candidate memory architectures in the early stages of system design. Our experiments demonstrate that our estimations closely follow the actual simulated performance, at significantly reduced run times.