Forward-looking objective functions: concept & applications in high level synthesis

  • Authors:
  • Jennifer L. Wong;Seapahn Megerian;Miodrag Potkonjak

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

  • Venue:
  • Proceedings of the 39th annual Design Automation Conference
  • Year:
  • 2002

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Abstract

The effectiveness of traditional CAD optimization algorithms is proportional to the accuracy of the targeted objective functions. However, behavioral synthesis tools are not used in isolation; they form a strongly connected design flow where each tool optimizes its own objective function without considering the consequences on the optimization goals of the subsequently applied tools. Therefore, efforts to optimize one aspect of a design often have unforeseen negative impacts on other phases of the design process.