{"title":"优化骑士登陆结构的双电子排斥积分计算","authors":"Yingqi Tian, B. Suo, Yingjin Ma, Zhong Jin","doi":"10.1145/3176364.3176371","DOIUrl":null,"url":null,"abstract":"In this paper, we introduced some optimization methods we used to optimize two-electron repulsion integral calculation on Knights Landing architecture. We developed a schedule for parallelism and vectorization, and we compared two different methods for calculating lower incomplete gamma function. Our optimization achieved 1.7 speedup on KNL than CPU platform.","PeriodicalId":371083,"journal":{"name":"Proceedings of Workshops of HPC Asia","volume":"80 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimizing two-electron repulsion integral calculation on knights landing architecture\",\"authors\":\"Yingqi Tian, B. Suo, Yingjin Ma, Zhong Jin\",\"doi\":\"10.1145/3176364.3176371\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we introduced some optimization methods we used to optimize two-electron repulsion integral calculation on Knights Landing architecture. We developed a schedule for parallelism and vectorization, and we compared two different methods for calculating lower incomplete gamma function. Our optimization achieved 1.7 speedup on KNL than CPU platform.\",\"PeriodicalId\":371083,\"journal\":{\"name\":\"Proceedings of Workshops of HPC Asia\",\"volume\":\"80 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-01-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of Workshops of HPC Asia\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3176364.3176371\",\"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 of Workshops of HPC Asia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3176364.3176371","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimizing two-electron repulsion integral calculation on knights landing architecture
In this paper, we introduced some optimization methods we used to optimize two-electron repulsion integral calculation on Knights Landing architecture. We developed a schedule for parallelism and vectorization, and we compared two different methods for calculating lower incomplete gamma function. Our optimization achieved 1.7 speedup on KNL than CPU platform.