{"title":"用截断组合技术求解Black-Scholes偏微分方程的混合并行解","authors":"J. Benk, D. Pflüger","doi":"10.1109/HPCSim.2012.6266992","DOIUrl":null,"url":null,"abstract":"This paper presents an efficient approach to parallel pricing of multi-dimensional financial derivatives based on the Black-Scholes Partial Differential Equation (BS-PDE). One of the main challenges for such multi-dimensional problems is the curse of dimensionality, that is tackled in our approach by the combination technique (CT). This technique consists of a combination of several solutions obtained on anisotropic full grids. Hence, it offers the possibility to compute the BS-PDE on each one in an embarrassingly parallel way. Besides parallelizing on the CT level, we have developed a shared memory parallel multigrid solver for the BS-PDE. The parallel efficiency of our hybrid parallel approach is demonstrated by strong scaling results of 5D and 6D pricing problems.","PeriodicalId":428764,"journal":{"name":"2012 International Conference on High Performance Computing & Simulation (HPCS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":"{\"title\":\"Hybrid parallel solutions of the Black-Scholes PDE with the truncated combination technique\",\"authors\":\"J. Benk, D. Pflüger\",\"doi\":\"10.1109/HPCSim.2012.6266992\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an efficient approach to parallel pricing of multi-dimensional financial derivatives based on the Black-Scholes Partial Differential Equation (BS-PDE). One of the main challenges for such multi-dimensional problems is the curse of dimensionality, that is tackled in our approach by the combination technique (CT). This technique consists of a combination of several solutions obtained on anisotropic full grids. Hence, it offers the possibility to compute the BS-PDE on each one in an embarrassingly parallel way. Besides parallelizing on the CT level, we have developed a shared memory parallel multigrid solver for the BS-PDE. The parallel efficiency of our hybrid parallel approach is demonstrated by strong scaling results of 5D and 6D pricing problems.\",\"PeriodicalId\":428764,\"journal\":{\"name\":\"2012 International Conference on High Performance Computing & Simulation (HPCS)\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-07-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"19\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 International Conference on High Performance Computing & Simulation (HPCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HPCSim.2012.6266992\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on High Performance Computing & Simulation (HPCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HPCSim.2012.6266992","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Hybrid parallel solutions of the Black-Scholes PDE with the truncated combination technique
This paper presents an efficient approach to parallel pricing of multi-dimensional financial derivatives based on the Black-Scholes Partial Differential Equation (BS-PDE). One of the main challenges for such multi-dimensional problems is the curse of dimensionality, that is tackled in our approach by the combination technique (CT). This technique consists of a combination of several solutions obtained on anisotropic full grids. Hence, it offers the possibility to compute the BS-PDE on each one in an embarrassingly parallel way. Besides parallelizing on the CT level, we have developed a shared memory parallel multigrid solver for the BS-PDE. The parallel efficiency of our hybrid parallel approach is demonstrated by strong scaling results of 5D and 6D pricing problems.