A reconfigurable stochastic model simulator for analysis of parallel systems

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

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

Markov chain and queueing model are convenient tools with which to analyze parallel systems for architects. For a high speed simulation and easy modeling, a reconfigurable Markov chain/queueing model simulation system called RSMS (Reconfigurable Stochastic Model Simulator) is proposed. A user describes the target system in a dedicated description language called Taico. The description is automatically translated into the HDL description of the Markov chain/queueing model simulator. Then, the simulator is implemented on the FPGA devices of the reconfigurable system, and directly executed. Evaluation results with example parallel systems demonstrate that the performance of the proposed system is much superior to that of a common workstation.

本文言語English
ホスト出版物のタイトルIEEE Symposium on FPGAs for Custom Computing Machines, Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ページ291-292
ページ数2
2000-January
ISBN(印刷版)0769508715
DOI
出版ステータスPublished - 2000
イベントIEEE Symposium on Field-Programmable Custom Computing Machines, FCCM 2000 - Napa Valley, United States
継続期間: 2000 4 172000 4 19

Other

OtherIEEE Symposium on Field-Programmable Custom Computing Machines, FCCM 2000
国/地域United States
CityNapa Valley
Period00/4/1700/4/19

ASJC Scopus subject areas

  • ハードウェアとアーキテクチャ
  • ソフトウェア
  • 理論的コンピュータサイエンス

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