Practical implementation of a network-based Stochastic biochemical simulation system on an FPGA

Masato Yoshimi, Yuri Nishikawa, Yasunori Osana, Akira Funahashi, Noriko Hiroi, Yuichiro Shibata, Hideki Yamada, Hiroaki Kitano, Hideharu Amano

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

5 Citations (Scopus)

Abstract

Stochastic simulation of biochemical reaction networks are widely focused by life scientists to represent stochastic behaviors in cellular processes. Stochastic algorithm has loop-and thread-level parallelism, and it is suitable for running on application specific hardware to achieve high performance with low cost. We have implemented and evaluated the FPGA-based stochastic simulator according to theoretical research of the algorithm. This paper introduces an improved architecture for accelerating a stochastic simulation algorithm called the Next Reaction Method. This new architecture has scalability to various size of FPGA. As the result with a middle-range FPGA, 5.38 times higher throughput was obtained compared to software running on a Core 2 Quad Q6600 2.40GHz.

Original languageEnglish
Title of host publicationProceedings - 2008 International Conference on Field Programmable Logic and Applications, FPL
Pages663-666
Number of pages4
DOIs
Publication statusPublished - 2008
Event2008 International Conference on Field Programmable Logic and Applications, FPL - Heidelberg, Germany
Duration: 2008 Sept 82008 Sept 10

Publication series

NameProceedings - 2008 International Conference on Field Programmable Logic and Applications, FPL

Other

Other2008 International Conference on Field Programmable Logic and Applications, FPL
Country/TerritoryGermany
CityHeidelberg
Period08/9/808/9/10

ASJC Scopus subject areas

  • Hardware and Architecture

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