Implementation of ReCSiP: A ReConfigurable cell SImulation Platform

Yasunori Osana, Tomonori Fukushima, Hideharu Amano

Research output: Chapter in Book/Report/Conference proceedingChapter

4 Citations (Scopus)

Abstract

A reconfigurable accelerator for cell simulators called "ReCSiP" is proposed. It consists of both reconfigurable hardware and software platform. For high performance simulation, numerical solution of kinetic formulas, which require a large amount of computation, are processed on the reconfigurable hardware. It also provides programming interface for developing cell simulators. In this paper, Michaelis-Menten solver is designed and implemented on ReCSiP. The result of preliminary evaluation shows that ReCSiP is 8 times faster than Intel PentiumIII 1.13GHz when simple metabolic simulations are executed.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsPeter Y. K. Cheung, George A. Constantinides, Jose T. de Sousa
PublisherSpringer Verlag
Pages766-775
Number of pages10
ISBN (Electronic)3540408223, 9783540408222
DOIs
Publication statusPublished - 2003

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2778
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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