A reconfigurable stochastic model simulator for analysis of parallel systems

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

doi:10.1109/FPGA.2000.903422

A reconfigurable stochastic model simulator for analysis of parallel systems

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

Department of Information and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	IEEE Symposium on FPGAs for Custom Computing Machines, Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	291-292
Number of pages	2
Volume	2000-January
ISBN (Print)	0769508715
DOIs	https://doi.org/10.1109/FPGA.2000.903422
Publication status	Published - 2000
Event	IEEE Symposium on Field-Programmable Custom Computing Machines, FCCM 2000 - Napa Valley, United States Duration: 2000 Apr 17 → 2000 Apr 19

Other

Other	IEEE Symposium on Field-Programmable Custom Computing Machines, FCCM 2000
Country/Territory	United States
City	Napa Valley
Period	00/4/17 → 00/4/19

ASJC Scopus subject areas

Hardware and Architecture
Software
Theoretical Computer Science

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10.1109/FPGA.2000.903422

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A reconfigurable stochastic model simulator for analysis of parallel systems. / Yamamoto, O.; Shibata, Yuichiro; Kurosawa, Hitoshi et al.
IEEE Symposium on FPGAs for Custom Computing Machines, Proceedings. Vol. 2000-January Institute of Electrical and Electronics Engineers Inc., 2000. p. 291-292 903422.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Yamamoto, O, Shibata, Y, Kurosawa, H & Amano, H 2000, A reconfigurable stochastic model simulator for analysis of parallel systems. in IEEE Symposium on FPGAs for Custom Computing Machines, Proceedings. vol. 2000-January, 903422, Institute of Electrical and Electronics Engineers Inc., pp. 291-292, IEEE Symposium on Field-Programmable Custom Computing Machines, FCCM 2000, Napa Valley, United States, 00/4/17. https://doi.org/10.1109/FPGA.2000.903422

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abstract = "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.",

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N2 - 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.

AB - 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.

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A reconfigurable stochastic model simulator for analysis of parallel systems

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