{"title":"基于FPGA的双极系统能量计算协处理器","authors":"G. Danese, I. Lotto, F. Leporati, A. Spelgatti","doi":"10.1109/EMPDP.2002.994276","DOIUrl":null,"url":null,"abstract":"In this paper, an FPGA-based coprocessor is presented, interfaced with the CPU to a computer through a PCI bus. It allows a faster evaluation of the energy of a crystal, which, computationally, is usually the heaviest part of a liquid-crystal Monte Carlo simulation of a dipolar system. The work is part of a global project aiming to design and build a parallel system made up of a cluster of accelerated workstations communicating via one of the most advanced modern network technologies. First estimations of performance show a big acceleration with respect to the execution of the same application on an Intel CPU-based motherboard.","PeriodicalId":126071,"journal":{"name":"Proceedings 10th Euromicro Workshop on Parallel, Distributed and Network-based Processing","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"FPGA based coprocessor to calculate the energy of dipolar system\",\"authors\":\"G. Danese, I. Lotto, F. Leporati, A. Spelgatti\",\"doi\":\"10.1109/EMPDP.2002.994276\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, an FPGA-based coprocessor is presented, interfaced with the CPU to a computer through a PCI bus. It allows a faster evaluation of the energy of a crystal, which, computationally, is usually the heaviest part of a liquid-crystal Monte Carlo simulation of a dipolar system. The work is part of a global project aiming to design and build a parallel system made up of a cluster of accelerated workstations communicating via one of the most advanced modern network technologies. First estimations of performance show a big acceleration with respect to the execution of the same application on an Intel CPU-based motherboard.\",\"PeriodicalId\":126071,\"journal\":{\"name\":\"Proceedings 10th Euromicro Workshop on Parallel, Distributed and Network-based Processing\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-01-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 10th Euromicro Workshop on Parallel, Distributed and Network-based Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EMPDP.2002.994276\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 10th Euromicro Workshop on Parallel, Distributed and Network-based Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EMPDP.2002.994276","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
FPGA based coprocessor to calculate the energy of dipolar system
In this paper, an FPGA-based coprocessor is presented, interfaced with the CPU to a computer through a PCI bus. It allows a faster evaluation of the energy of a crystal, which, computationally, is usually the heaviest part of a liquid-crystal Monte Carlo simulation of a dipolar system. The work is part of a global project aiming to design and build a parallel system made up of a cluster of accelerated workstations communicating via one of the most advanced modern network technologies. First estimations of performance show a big acceleration with respect to the execution of the same application on an Intel CPU-based motherboard.