A fast instruction set evaluation method for ASIP designs

  • Authors:
  • Angela Yun Zhu;Xi Li;Laurence T. Yang;Jun Yang

  • Affiliations:
  • Department of Computer Science, University of Science and Technology of China, Hefei, Anhui, P.R. China;Department of Computer Science, University of Science and Technology of China, Hefei, Anhui, P.R. China;Department of Computer Science, St. Francis Xavier University, Antigonish, NS, Canada;Department of Computer Science, University of Science and Technology of China, Hefei, Anhui, P.R. China

  • Venue:
  • EUC'06 Proceedings of the 2006 international conference on Embedded and Ubiquitous Computing
  • Year:
  • 2006

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Abstract

ASIPs are designed specifically for a particular application or a set of applications. Their instruction sets must be carefully tailored to provide high performance as well as to meet non-functional constraints such as silicon area and power consumption. Traditionally, evaluation of different candidate instruction sets is all carried out through simulation. However, the growing design complexity and time-to-market pressure have rendered simulation increasingly infeasible. In this paper, we present an instruction level modeling method that can rapidly evaluates several important aspects of a selected instruction set. Experimental results show that we can prune a large number of candidate instruction sets with the model, accelerate design space exploration and alleviate the pressure on simulation