Reconfigurable Markov chain simulator for analysis of parallel systems

O. Yamamoto, Yuichiro Shibata, Hitoshi Kurosawa, Hideharu Amano

研究成果: Conference article

2 引用 (Scopus)

抜粋

Markov chain is a convenient tool to analyze parallel systems for architects who are not experts of theoretical analysis. However, it is sometimes difficult to use especially when the model becomes complicated or extremely small probabilities are used in the model. In this paper, we propose a reconfigurable Markov chain simulation system and evaluate on a reconfigurable testbed. In this system, a user describes the target system in a dedicated description language called `Taico'. The description is automatically translated into the Verilog-HDL description of the Markov chain simulator. Then, the simulator is implemented on a reconfigurable testbed called FLEMING, and executed directly. From the evaluation with analysis of example parallel systems, it appears that the simulation speed of proposed system is more than hundreds times faster than software simulation on a high speed workstation.

元の言語English
ページ(範囲)107-116
ページ数10
ジャーナルProceedings of the Annual IEEE International Conference on Innovative Systems in Silicon
出版物ステータスPublished - 1997 12 1
外部発表Yes
イベントProceedings of the 1997 2nd Annual IEEE International Conference on Innovative Systems in Silicon - Austin, TX, USA
継続期間: 1997 10 81997 10 10

ASJC Scopus subject areas

  • Hardware and Architecture
  • Electrical and Electronic Engineering
  • Condensed Matter Physics

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