{“状态”:“确定”,“消息类型”:“工作”,“信息版本”:“1.0.0”,“邮件”:{“索引”:{-“日期-部件”:[[2024,5,3]],“日期-时间”:“2024-05-03T04:39:21Z”,“时间戳”:1714711161378},“参考-计数”:20,“出版商”:“SAGE出版物”,“问题”:“6”,“许可证”:[{“开始”:{:“日期-部分”:[2020,7,27]],”日期-时间“:”202 0-07-27T00:00:00Z“,”时间戳“:159580800000},“content-version”:“tdm”,“delay-in-days”:0,“URL”:“http://\/journals.sagepub.com/page\/policys\/text-and-data-mining-license”}],“content-domain”:{“domain”:[“journals/sagepub.com”],“crossmark-restriction”:true},“short-container-title”:[“The International Journal of High Performance Computing Applications”],”published-print“:{”date-parts“:[2020,11]]},“抽象”:“在本文中,我们报告了我们在神威太湖光和首步系统B和Gyoukou这两个PEZY-SC2系统上的极端尺度全行星环仿真代码的实现和性能测试。数值算法是并行Barnes-Hut树算法,该算法已用于许多大规模天体物理粒子模拟。我们的实现基于我们的FDPS框架。然而,所用系统的内核数量极其庞大(太湖光上为10M,Gyoukou上为16M),以及它们相对较差的内存和网络带宽带来了新的挑战。我们描述了在低内存带宽的机器上实现高效的新算法。在太湖光、Gyoukou和首步B系统上测得的性能分别为47.9、10.6 PF和1.01PF(效率分别为40%、23.5%和35.5%)。当前的代码是为行星环的模拟而开发的,但大多数新算法对其他模拟都很有用,现在可以在FDPS框架中使用。<\/jats:p>“,”DOI“:”10.1177\/109442020943652“,”type“:”journal-article“,”created“:{”date-parts“:[[2020,7,27]],”date-time“:”2020-07-27T12:26:57Z“,”timestamp“:1595852817000},“page”:“615-628”,“更新策略”:“http://\/dx.doi.org\/10.1177\/sage-journals-update-policy”,“源”:“Crossref”、“is-referenced-by-count”:4,“title”:[“Barnes-hut n-body算法在极端规模异构多核体系结构上的实现和性能”],“prefix”:“10.1177”,”volume“:”34“author”:[{“ORCID”:“http://\/orcid.org\/00000-0003-2635-9575”,“authenticated-orcid”:false,“given”:“Masaki”,“family”:“Iwasawa”,“sequence”:“first”,“affiliation”:[{“name”:“日本松原松原学院国立理工学院”},{“name:”日本神户大学科学研究生院“},{“given”:“Daisuke”,“family”:“Namekata”,“sequence”:“additional”,“affiliation”:[{“name”:“日本神户RIKEN计算科学中心”}]},{“给定”:“Ryo”,“家族”:“坂本”,“序列”:“附加”,“从属”:[[{”name“:”PEZY Computing K.K.,Tokyo,Japan“}]},{”given“:”Takashi“,”family“:”Nakamura“,”sequence“:”additional“,”affiliance:[{“名称”:“Preferred Networks 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