{"title":"A Comparative Study on ASIC, FPGAs, GPUs and General Purpose Processors in the O(N^2) Gravitational N-body Simulation","authors":"T. Hamada, K. Benkrid, Keigo Nitadori, M. Taiji","doi":"10.1109/AHS.2009.55","DOIUrl":null,"url":null,"abstract":"In this paper, we describe the implementation of gravitational force calculation for N-body simulations in the context of Astrophysics. It will describe high performance implementations on general purpose processors, GPUs, and FPGAs, and compare them using a number of criteria including speed performance, power efficiency and cost of development. These results show that, for gravitational force calculation and many-body simulations in general, GPUs are very competitive in terms of performance and performance per dollar figures, whereas FPGAs are competitive in terms of performance per Watt figures.","PeriodicalId":318989,"journal":{"name":"2009 NASA/ESA Conference on Adaptive Hardware and Systems","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"33","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 NASA/ESA Conference on Adaptive Hardware and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AHS.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: 33
Abstract
In this paper, we describe the implementation of gravitational force calculation for N-body simulations in the context of Astrophysics. It will describe high performance implementations on general purpose processors, GPUs, and FPGAs, and compare them using a number of criteria including speed performance, power efficiency and cost of development. These results show that, for gravitational force calculation and many-body simulations in general, GPUs are very competitive in terms of performance and performance per dollar figures, whereas FPGAs are competitive in terms of performance per Watt figures.