A reconfigurable stochastic model simulator for analysis of parallel systems

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Markov chain and queueing model are convenient tools with which to analyze parallel systems for architects. For a high speed execution 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. From the evaluation with analysis of example parallel systems, it appears that the analysis speed of the proposed system is much greater than that of common workstations.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages475-484
Number of pages10
Volume1896
ISBN (Print)3540678999, 9783540678991
Publication statusPublished - 2000
Event10th International Conference on Field-Programmable Logic and Applications, FPL 2000 - Villach, Austria
Duration: 2000 Aug 272000 Aug 30

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1896
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other10th International Conference on Field-Programmable Logic and Applications, FPL 2000
CountryAustria
CityVillach
Period00/8/2700/8/30

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ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Yamamoto, O., Shibata, Y., Kurosawa, H., & Amano, H. (2000). A reconfigurable stochastic model simulator for analysis of parallel systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1896, pp. 475-484). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1896). Springer Verlag.