{"title":"高性能计算集群分布式外核存储方法及其在量子化学中的应用","authors":"Chris Simmons, K. Schulz","doi":"10.1145/2335755.2335785","DOIUrl":null,"url":null,"abstract":"Out-of-core methods, which repeatedly offload data to disk in order to overcome local on-node memory constraints are encountered in a range of scientific computing disciplines, including quantum chemistry. Unfortunately, these methods do not often map nicely onto global parallel file systems employed on modern HPC clusters and can overwhelm even the most capable of file systems causing unacceptably low application performance (while also degrading I/O performance for all system users). To address this bottleneck and explore more efficient use of HPC clusters for a quantum chemistry application, CFOUR, a new MPI-based utility has been developed to support out-of-core methods on distributed memory systems. This MPI Ocore utility leverages the high-speed interconnect available on HPC clusters to offload and retrieve out-of-core records to one or more remote memory storage pools, avoiding excessive I/O transactions on local or global file systems. In this paper, we present an overview of the Ocore implementation, it's direct application within a large quantum chemistry application, and micro-benchmark and application performance results from an HPC cluster interconnected with InfiniBand.","PeriodicalId":93364,"journal":{"name":"Proceedings of XSEDE16 : Diversity, Big Data, and Science at Scale : July 17-21, 2016, Intercontinental Miami Hotel, Miami, Florida, USA. Conference on Extreme Science and Engineering Discovery Environment (5th : 2016 : Miami, Fla.)","volume":"9 1","pages":"1:1-1:7"},"PeriodicalIF":0.0000,"publicationDate":"2012-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A distributed memory out-of-core method on HPC clusters and its application to quantum chemistry applications\",\"authors\":\"Chris Simmons, K. Schulz\",\"doi\":\"10.1145/2335755.2335785\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Out-of-core methods, which repeatedly offload data to disk in order to overcome local on-node memory constraints are encountered in a range of scientific computing disciplines, including quantum chemistry. Unfortunately, these methods do not often map nicely onto global parallel file systems employed on modern HPC clusters and can overwhelm even the most capable of file systems causing unacceptably low application performance (while also degrading I/O performance for all system users). To address this bottleneck and explore more efficient use of HPC clusters for a quantum chemistry application, CFOUR, a new MPI-based utility has been developed to support out-of-core methods on distributed memory systems. This MPI Ocore utility leverages the high-speed interconnect available on HPC clusters to offload and retrieve out-of-core records to one or more remote memory storage pools, avoiding excessive I/O transactions on local or global file systems. In this paper, we present an overview of the Ocore implementation, it's direct application within a large quantum chemistry application, and micro-benchmark and application performance results from an HPC cluster interconnected with InfiniBand.\",\"PeriodicalId\":93364,\"journal\":{\"name\":\"Proceedings of XSEDE16 : Diversity, Big Data, and Science at Scale : July 17-21, 2016, Intercontinental Miami Hotel, Miami, Florida, USA. Conference on Extreme Science and Engineering Discovery Environment (5th : 2016 : Miami, Fla.)\",\"volume\":\"9 1\",\"pages\":\"1:1-1:7\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-07-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of XSEDE16 : Diversity, Big Data, and Science at Scale : July 17-21, 2016, Intercontinental Miami Hotel, Miami, Florida, USA. Conference on Extreme Science and Engineering Discovery Environment (5th : 2016 : Miami, Fla.)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2335755.2335785\",\"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 XSEDE16 : Diversity, Big Data, and Science at Scale : July 17-21, 2016, Intercontinental Miami Hotel, Miami, Florida, USA. Conference on Extreme Science and Engineering Discovery Environment (5th : 2016 : Miami, Fla.)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2335755.2335785","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A distributed memory out-of-core method on HPC clusters and its application to quantum chemistry applications
Out-of-core methods, which repeatedly offload data to disk in order to overcome local on-node memory constraints are encountered in a range of scientific computing disciplines, including quantum chemistry. Unfortunately, these methods do not often map nicely onto global parallel file systems employed on modern HPC clusters and can overwhelm even the most capable of file systems causing unacceptably low application performance (while also degrading I/O performance for all system users). To address this bottleneck and explore more efficient use of HPC clusters for a quantum chemistry application, CFOUR, a new MPI-based utility has been developed to support out-of-core methods on distributed memory systems. This MPI Ocore utility leverages the high-speed interconnect available on HPC clusters to offload and retrieve out-of-core records to one or more remote memory storage pools, avoiding excessive I/O transactions on local or global file systems. In this paper, we present an overview of the Ocore implementation, it's direct application within a large quantum chemistry application, and micro-benchmark and application performance results from an HPC cluster interconnected with InfiniBand.