{"title":"PKDGRAV3:超越万亿粒子的宇宙学模拟,为下一个星系调查时代做准备","authors":"Douglas Potter, Joachim Stadel, Romain Teyssier","doi":"10.1186/s40668-017-0021-1","DOIUrl":null,"url":null,"abstract":"<p>We report on the successful completion of a 2 trillion particle cosmological simulation to <span>\\(z=0\\)</span> run on the Piz Daint supercomputer (CSCS, Switzerland), using 4000+ GPU nodes for a little less than 80?h of wall-clock time or 350,000 node hours. Using multiple benchmarks and performance measurements on the US Oak Ridge National Laboratory Titan supercomputer, we demonstrate that our code PKDGRAV3, delivers, to our knowledge, the fastest time-to-solution for large-scale cosmological <i>N</i>-body simulations. This was made possible by using the Fast Multipole Method in conjunction with individual and adaptive particle time steps, both deployed efficiently (and for the first time) on supercomputers with GPU-accelerated nodes. The very low memory footprint of PKDGRAV3 allowed us to run the first ever benchmark with 8 trillion particles on Titan, and to achieve perfect scaling up to 18,000 nodes and a peak performance of 10 Pflops.</p>","PeriodicalId":523,"journal":{"name":"Computational Astrophysics and Cosmology","volume":null,"pages":null},"PeriodicalIF":16.2810,"publicationDate":"2017-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s40668-017-0021-1","citationCount":"149","resultStr":"{\"title\":\"PKDGRAV3: beyond trillion particle cosmological simulations for the next era of galaxy surveys\",\"authors\":\"Douglas Potter, Joachim Stadel, Romain Teyssier\",\"doi\":\"10.1186/s40668-017-0021-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>We report on the successful completion of a 2 trillion particle cosmological simulation to <span>\\\\(z=0\\\\)</span> run on the Piz Daint supercomputer (CSCS, Switzerland), using 4000+ GPU nodes for a little less than 80?h of wall-clock time or 350,000 node hours. Using multiple benchmarks and performance measurements on the US Oak Ridge National Laboratory Titan supercomputer, we demonstrate that our code PKDGRAV3, delivers, to our knowledge, the fastest time-to-solution for large-scale cosmological <i>N</i>-body simulations. This was made possible by using the Fast Multipole Method in conjunction with individual and adaptive particle time steps, both deployed efficiently (and for the first time) on supercomputers with GPU-accelerated nodes. The very low memory footprint of PKDGRAV3 allowed us to run the first ever benchmark with 8 trillion particles on Titan, and to achieve perfect scaling up to 18,000 nodes and a peak performance of 10 Pflops.</p>\",\"PeriodicalId\":523,\"journal\":{\"name\":\"Computational Astrophysics and Cosmology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":16.2810,\"publicationDate\":\"2017-05-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1186/s40668-017-0021-1\",\"citationCount\":\"149\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computational Astrophysics and Cosmology\",\"FirstCategoryId\":\"4\",\"ListUrlMain\":\"https://link.springer.com/article/10.1186/s40668-017-0021-1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational Astrophysics and Cosmology","FirstCategoryId":"4","ListUrlMain":"https://link.springer.com/article/10.1186/s40668-017-0021-1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
PKDGRAV3: beyond trillion particle cosmological simulations for the next era of galaxy surveys
We report on the successful completion of a 2 trillion particle cosmological simulation to \(z=0\) run on the Piz Daint supercomputer (CSCS, Switzerland), using 4000+ GPU nodes for a little less than 80?h of wall-clock time or 350,000 node hours. Using multiple benchmarks and performance measurements on the US Oak Ridge National Laboratory Titan supercomputer, we demonstrate that our code PKDGRAV3, delivers, to our knowledge, the fastest time-to-solution for large-scale cosmological N-body simulations. This was made possible by using the Fast Multipole Method in conjunction with individual and adaptive particle time steps, both deployed efficiently (and for the first time) on supercomputers with GPU-accelerated nodes. The very low memory footprint of PKDGRAV3 allowed us to run the first ever benchmark with 8 trillion particles on Titan, and to achieve perfect scaling up to 18,000 nodes and a peak performance of 10 Pflops.
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