{"title":"一个并行社区气候模型的性能调整与评估","authors":"J. Drake, S. Hammond, Rodney James, P. Worley","doi":"10.1145/331532.331566","DOIUrl":null,"url":null,"abstract":"The Parallel Community Climate Model (PCCM) is a message-passing parallelization of version 2.1 of the Community Climate Model (CCM) developed by researchers at Argonne and Oak Ridge National Laboratories and at the National Center for Atmospheric Research in the early to mid 1990s. In preparation for use in the Department of Energy’s Parallel Climate Model (PCM), PCCM has recently been updated with new physics routines from version 3.2 of the CCM, improvements to the parallel implementation, and ports to the SGI/Cray Research T3E and Origin 2000. We describe our experience in porting and tuning PCCM on these new platforms, evaluating the performance of different parallel algorithm options and comparing performance between the T3E and Origin 2000.","PeriodicalId":354898,"journal":{"name":"ACM/IEEE SC 1999 Conference (SC'99)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Performance Tuning and Evaluation of a Parallel Community Climate Model\",\"authors\":\"J. Drake, S. Hammond, Rodney James, P. Worley\",\"doi\":\"10.1145/331532.331566\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Parallel Community Climate Model (PCCM) is a message-passing parallelization of version 2.1 of the Community Climate Model (CCM) developed by researchers at Argonne and Oak Ridge National Laboratories and at the National Center for Atmospheric Research in the early to mid 1990s. In preparation for use in the Department of Energy’s Parallel Climate Model (PCM), PCCM has recently been updated with new physics routines from version 3.2 of the CCM, improvements to the parallel implementation, and ports to the SGI/Cray Research T3E and Origin 2000. We describe our experience in porting and tuning PCCM on these new platforms, evaluating the performance of different parallel algorithm options and comparing performance between the T3E and Origin 2000.\",\"PeriodicalId\":354898,\"journal\":{\"name\":\"ACM/IEEE SC 1999 Conference (SC'99)\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-11-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM/IEEE SC 1999 Conference (SC'99)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/331532.331566\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM/IEEE SC 1999 Conference (SC'99)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/331532.331566","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14
摘要
平行社区气候模型(PCCM)是社区气候模型(CCM) 2.1版本的一个信息传递并行化版本,由阿贡国家实验室和橡树岭国家实验室以及国家大气研究中心的研究人员在20世纪90年代早期到中期开发。为了准备在能源部的并行气候模型(PCM)中使用,PCCM最近从CCM的3.2版本更新了新的物理例程,改进了并行实现,并移植到SGI/Cray Research T3E和Origin 2000。我们描述了在这些新平台上移植和调优PCCM的经验,评估了不同并行算法选项的性能,并比较了T3E和Origin 2000之间的性能。
Performance Tuning and Evaluation of a Parallel Community Climate Model
The Parallel Community Climate Model (PCCM) is a message-passing parallelization of version 2.1 of the Community Climate Model (CCM) developed by researchers at Argonne and Oak Ridge National Laboratories and at the National Center for Atmospheric Research in the early to mid 1990s. In preparation for use in the Department of Energy’s Parallel Climate Model (PCM), PCCM has recently been updated with new physics routines from version 3.2 of the CCM, improvements to the parallel implementation, and ports to the SGI/Cray Research T3E and Origin 2000. We describe our experience in porting and tuning PCCM on these new platforms, evaluating the performance of different parallel algorithm options and comparing performance between the T3E and Origin 2000.