A combined analytical and simulation-based model for performance evaluation of a reconfigurable instruction set processor

Farhad Mehdipour, Hamid Noori, Bahman Javadi, Hiroaki Honda, Koji Inoue, Kazuaki Murakami

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Performance evaluation is a serious challenge in designing or optimizing reconfigurable instruction set processors. The conventional approaches based on synthesis and simulations are very time consuming and need a considerable design effort. A combined analytical and simulation-based model (CAnSO ) is proposed and validated for performance evaluation of a typical reconfigurable instruction set processor. The proposed model consists of an analytical core that incorporates statistics gathered from cycle-accurate simulation to make a reasonable evaluation and provide a valuable insight. Compared to cycle-accurate simulation results, CAnSO proves almost 2% variation in the speedup measurement.

Original languageEnglish
Title of host publicationProceedings of the ASP-DAC 2009
Subtitle of host publicationAsia and South Pacific Design Automation Conference 2009
Pages564-569
Number of pages6
DOIs
Publication statusPublished - 2009
EventAsia and South Pacific Design Automation Conference 2009, ASP-DAC 2009 - Yokohama, Japan
Duration: Jan 19 2009Jan 22 2009

Publication series

NameProceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC

Other

OtherAsia and South Pacific Design Automation Conference 2009, ASP-DAC 2009
CountryJapan
CityYokohama
Period1/19/091/22/09

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design
  • Electrical and Electronic Engineering

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