H. Yamada, Yasunori Osana, Tomoya Ishimori, Tomonori Ooya, Masato Yoshimi, Yuri Nishikawa, Akira Funahashi, N. Hiroi, H. Amano, Yuichiro Shibata, K. Oguri
{"title":"A Modular Approach to Heterogeneous Biochemical Model Simulation on an FPGA","authors":"H. Yamada, Yasunori Osana, Tomoya Ishimori, Tomonori Ooya, Masato Yoshimi, Yuri Nishikawa, Akira Funahashi, N. Hiroi, H. Amano, Yuichiro Shibata, K. Oguri","doi":"10.1109/ReConFig.2009.55","DOIUrl":null,"url":null,"abstract":"Mathematical modeling and simulation of cellular systems are important processes in modern life science, to understand the behavior of life as a system. Kinetic model of a biochemical pathways is described as an ordinary differential system, consists of a variety of equations to represent velocity of corresponding chemical reactions. This paper describes a modular and automated approach to synthesize a custom HDL module for given biochemical model, that enables to build an optimal circuit to accelerate its simulation within a limited resource of an FPGA. As the result of evaluation, this method achieved reduction of logic usage by 10-60% while the overheads in frequency and pipeline depth is remaining about 10%.","PeriodicalId":325631,"journal":{"name":"2009 International Conference on Reconfigurable Computing and FPGAs","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Reconfigurable Computing and FPGAs","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ReConFig.2009.55","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Mathematical modeling and simulation of cellular systems are important processes in modern life science, to understand the behavior of life as a system. Kinetic model of a biochemical pathways is described as an ordinary differential system, consists of a variety of equations to represent velocity of corresponding chemical reactions. This paper describes a modular and automated approach to synthesize a custom HDL module for given biochemical model, that enables to build an optimal circuit to accelerate its simulation within a limited resource of an FPGA. As the result of evaluation, this method achieved reduction of logic usage by 10-60% while the overheads in frequency and pipeline depth is remaining about 10%.