{"title":"gpu上结构性股票产品的定价","authors":"A. Bernemann, R. Schreyer, K. Spanderen","doi":"10.1109/WHPCF.2010.5671821","DOIUrl":null,"url":null,"abstract":"Pricing and risk analysis for today's structured equity products is computationally more and more demanding and time consuming. GPUs offer the possibility to significantly increase computing performance even at reduced costs. We applied this technology to replace a large amount of our CPU based computing grid by hybrid GPU/CPU pricing engines. One GPU based pricing engine with two Tesla C1060 replaced 140 CPU cores in performing Monte Carlo based simulation of our productive structured equity portfolio with the local and stochastic volatility model.","PeriodicalId":408567,"journal":{"name":"2010 IEEE Workshop on High Performance Computational Finance","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Pricing structured equity products on GPUs\",\"authors\":\"A. Bernemann, R. Schreyer, K. Spanderen\",\"doi\":\"10.1109/WHPCF.2010.5671821\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Pricing and risk analysis for today's structured equity products is computationally more and more demanding and time consuming. GPUs offer the possibility to significantly increase computing performance even at reduced costs. We applied this technology to replace a large amount of our CPU based computing grid by hybrid GPU/CPU pricing engines. One GPU based pricing engine with two Tesla C1060 replaced 140 CPU cores in performing Monte Carlo based simulation of our productive structured equity portfolio with the local and stochastic volatility model.\",\"PeriodicalId\":408567,\"journal\":{\"name\":\"2010 IEEE Workshop on High Performance Computational Finance\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE Workshop on High Performance Computational Finance\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WHPCF.2010.5671821\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE Workshop on High Performance Computational Finance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WHPCF.2010.5671821","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Pricing and risk analysis for today's structured equity products is computationally more and more demanding and time consuming. GPUs offer the possibility to significantly increase computing performance even at reduced costs. We applied this technology to replace a large amount of our CPU based computing grid by hybrid GPU/CPU pricing engines. One GPU based pricing engine with two Tesla C1060 replaced 140 CPU cores in performing Monte Carlo based simulation of our productive structured equity portfolio with the local and stochastic volatility model.
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