Parallelizing CAD: a timely research agenda for EDA

  • Authors:
  • Bryan Catanzaro;Kurt Keutzer;Bor-Yiing Su

  • Affiliations:
  • Berkeley, CA;Berkeley, CA;Berkeley, CA

  • Venue:
  • Proceedings of the 45th annual Design Automation Conference
  • Year:
  • 2008

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Abstract

The relative decline of single-threaded processor performance, coupled with the ongoing shift towards on chip parallelism requires that CAD applications run efficiently on parallel microprocessors. We believe that an ad hoc approach to parallelizing CAD applications will not lead to satisfactory results: neither in terms of return on engineering investment nor in terms of the computational efficiency of end applications. Instead, we propose that a key area of CAD research is to identify the design patterns underlying CAD applications and then build CAD application frameworks that aid efficient parallel software implementations of these design patterns. Our initial results indicate that parallel patterns exist in a broad range of CAD problems. We believe that frameworks for these patterns will enable CAD to successfully capitalize on increased processor performance through parallelism.