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 / Conference PaperConference Paperpeer-review

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, 14th Asia and South Pacific Design Automation Conference, 19-22 January 2009, Yokohama, Japan
PublisherIEEE
Pages564-569
Number of pages6
ISBN (Print)9781424427499
DOIs
Publication statusPublished - 2009
EventAsia and South Pacific Design Automation Conference -
Duration: 19 Jan 2009 → …

Conference

ConferenceAsia and South Pacific Design Automation Conference
Period19/01/09 → …

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