Behavior and communication co-optimization for systems with sequential communication media

  • Authors:
  • Jason Cong;Yiping Fan;Guoling Han;Wei Jiang;Zhiru Zhang

  • Affiliations:
  • University of California, Los Angeles, Los Angeles, CA;University of California, Los Angeles, Los Angeles, CA;University of California, Los Angeles, Los Angeles, CA;University of California, Los Angeles, Los Angeles, CA;University of California, Los Angeles, Los Angeles, CA

  • Venue:
  • Proceedings of the 43rd annual Design Automation Conference
  • Year:
  • 2006

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Abstract

In this paper we propose a new communication synthesis approach targeting systems with sequential communication media (SCM). Since SCMs require that the reading sequence and writing sequence must have the same order, different transmission orders may have a dramatic impact on the final performance. However, the problem of determining the best possible communication order for SCMs is not adequately addressed by prior work. The goal of our work is to consider behaviors in communication synthesis for SCM, detect appropriate transmission order to optimize latency, automatically transform the behavior descriptions, and automatically generate driver routines and glue logics to access physical channels. Our algorithm, named SCOOP, successfully achieves these goals by behavior and communication co-optimization. Compared to the results without optimization, we can achieve an average 20% improvement in total latency on a set of real-life benchmarks.