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

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6 Author(s)
Mehdipour, F. ; Fac. of Inf., Sci. & Electr. Eng., Kyushu Univ., Fukuoka ; Noori, H. ; Javadi, B. ; Honda, H.
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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.

Published in:

Design Automation Conference, 2009. ASP-DAC 2009. Asia and South Pacific

Date of Conference:

19-22 Jan. 2009