{"title":"基于蒙特卡罗的金融模拟的硬件架构","authors":"David B. Thomas, Jacob A. Bower, W. Luk","doi":"10.1109/FPT.2006.270352","DOIUrl":null,"url":null,"abstract":"This paper presents a methodology and the results of implementing Monte-Carlo financial simulations in reconfigurable devices. Five different Monte-Carlo simulations are explored, including log-normal price movements, correlated asset value-at-risk calculation, and price movements under the GARCH model. Our results show that hardware implementations from our approach on a Xilinx Virtex-4 XC4VSX55 device run on-average 80 times faster than software on a 2.66GHz PC","PeriodicalId":354940,"journal":{"name":"2006 IEEE International Conference on Field Programmable Technology","volume":"106 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":"{\"title\":\"Hardware architectures for Monte-Carlo based financial simulations\",\"authors\":\"David B. Thomas, Jacob A. Bower, W. Luk\",\"doi\":\"10.1109/FPT.2006.270352\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a methodology and the results of implementing Monte-Carlo financial simulations in reconfigurable devices. Five different Monte-Carlo simulations are explored, including log-normal price movements, correlated asset value-at-risk calculation, and price movements under the GARCH model. Our results show that hardware implementations from our approach on a Xilinx Virtex-4 XC4VSX55 device run on-average 80 times faster than software on a 2.66GHz PC\",\"PeriodicalId\":354940,\"journal\":{\"name\":\"2006 IEEE International Conference on Field Programmable Technology\",\"volume\":\"106 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"21\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 IEEE International Conference on Field Programmable Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FPT.2006.270352\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE International Conference on Field Programmable Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FPT.2006.270352","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Hardware architectures for Monte-Carlo based financial simulations
This paper presents a methodology and the results of implementing Monte-Carlo financial simulations in reconfigurable devices. Five different Monte-Carlo simulations are explored, including log-normal price movements, correlated asset value-at-risk calculation, and price movements under the GARCH model. Our results show that hardware implementations from our approach on a Xilinx Virtex-4 XC4VSX55 device run on-average 80 times faster than software on a 2.66GHz PC