{"title":"基于QCT开发者云的高性能计算应用功耗与性能研究","authors":"P. Young, Probha Madhavan, Gong-Do Hwang","doi":"10.1109/CSCloud.2017.50","DOIUrl":null,"url":null,"abstract":"We present direct performance measurement for eight popular HPC applications on the Knights Landing (KNL) platform. Performance numbers for Haswell processors are provided for contrast. The applications (DGEMM. SGEMM, STREAM, IOR, HPCG, Quantum Espresso, WRF and HPL) were selected from among the ten most used in the QCT developer cloud as well as good representative of workloads used by large number of users and, given their diversity, should be representative of typical HPC workloads. All runs were performed with publicly available codes without modification and so results should be expected to improve as developers gain access to KNL. Current results are promising, with execution on a single KNL processor showing speedups up to 1.7x with respect to a dual socket Haswell.","PeriodicalId":436299,"journal":{"name":"2017 IEEE 4th International Conference on Cyber Security and Cloud Computing (CSCloud)","volume":"527 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Power and Performance Study of HPC Applications on QCT Developer Cloud\",\"authors\":\"P. Young, Probha Madhavan, Gong-Do Hwang\",\"doi\":\"10.1109/CSCloud.2017.50\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present direct performance measurement for eight popular HPC applications on the Knights Landing (KNL) platform. Performance numbers for Haswell processors are provided for contrast. The applications (DGEMM. SGEMM, STREAM, IOR, HPCG, Quantum Espresso, WRF and HPL) were selected from among the ten most used in the QCT developer cloud as well as good representative of workloads used by large number of users and, given their diversity, should be representative of typical HPC workloads. All runs were performed with publicly available codes without modification and so results should be expected to improve as developers gain access to KNL. Current results are promising, with execution on a single KNL processor showing speedups up to 1.7x with respect to a dual socket Haswell.\",\"PeriodicalId\":436299,\"journal\":{\"name\":\"2017 IEEE 4th International Conference on Cyber Security and Cloud Computing (CSCloud)\",\"volume\":\"527 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE 4th International Conference on Cyber Security and Cloud Computing (CSCloud)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSCloud.2017.50\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 4th International Conference on Cyber Security and Cloud Computing (CSCloud)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSCloud.2017.50","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Power and Performance Study of HPC Applications on QCT Developer Cloud
We present direct performance measurement for eight popular HPC applications on the Knights Landing (KNL) platform. Performance numbers for Haswell processors are provided for contrast. The applications (DGEMM. SGEMM, STREAM, IOR, HPCG, Quantum Espresso, WRF and HPL) were selected from among the ten most used in the QCT developer cloud as well as good representative of workloads used by large number of users and, given their diversity, should be representative of typical HPC workloads. All runs were performed with publicly available codes without modification and so results should be expected to improve as developers gain access to KNL. Current results are promising, with execution on a single KNL processor showing speedups up to 1.7x with respect to a dual socket Haswell.
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