{"title":"QCT开发者云上科学模拟的性能:以分子动力学和量子化学模拟为例","authors":"P. Madhavan, P. Young, Stephen Chang","doi":"10.1109/CSCloud.2017.54","DOIUrl":null,"url":null,"abstract":"We present direct performance measurements for four popular scientific simulations on the Knights Landing (KNL) platform. Performance numbers for Broadwell processors are provided for contrast. The applications (NAMD, LAMMPS, GROMACS and CP2K) were selected from among the ten most used in the QCT developer cloud as well as best representative of workloads used by many users and, given their diversity, should be representative of typical high performance computing workloads. All runs were performed with publicly available codes without modification and so results should be expected to improve as developers gain access to Knights Landing (KNL) processor. Current results are promising, with execution on a single KNL processor showing speedups up to 1.5x with respect to a dual socket Broadwell.","PeriodicalId":436299,"journal":{"name":"2017 IEEE 4th International Conference on Cyber Security and Cloud Computing (CSCloud)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Performance of Scientific Simulations on QCT Developer Cloud: A Case Study of Molecular Dynamic and Quantum Chemistry Simulations\",\"authors\":\"P. Madhavan, P. Young, Stephen Chang\",\"doi\":\"10.1109/CSCloud.2017.54\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present direct performance measurements for four popular scientific simulations on the Knights Landing (KNL) platform. Performance numbers for Broadwell processors are provided for contrast. The applications (NAMD, LAMMPS, GROMACS and CP2K) were selected from among the ten most used in the QCT developer cloud as well as best representative of workloads used by many users and, given their diversity, should be representative of typical high performance computing workloads. All runs were performed with publicly available codes without modification and so results should be expected to improve as developers gain access to Knights Landing (KNL) processor. Current results are promising, with execution on a single KNL processor showing speedups up to 1.5x with respect to a dual socket Broadwell.\",\"PeriodicalId\":436299,\"journal\":{\"name\":\"2017 IEEE 4th International Conference on Cyber Security and Cloud Computing (CSCloud)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"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.2017.54\",\"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.2017.54","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Performance of Scientific Simulations on QCT Developer Cloud: A Case Study of Molecular Dynamic and Quantum Chemistry Simulations
We present direct performance measurements for four popular scientific simulations on the Knights Landing (KNL) platform. Performance numbers for Broadwell processors are provided for contrast. The applications (NAMD, LAMMPS, GROMACS and CP2K) were selected from among the ten most used in the QCT developer cloud as well as best representative of workloads used by many users and, given their diversity, should be representative of typical high performance computing workloads. All runs were performed with publicly available codes without modification and so results should be expected to improve as developers gain access to Knights Landing (KNL) processor. Current results are promising, with execution on a single KNL processor showing speedups up to 1.5x with respect to a dual socket Broadwell.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
