Andreas Herten, Sebastian Achilles, Damian Alvarez, Jayesh Badwaik, Eric Behle, Mathis Bode, Thomas Breuer, Daniel Caviedes-Voullième, Mehdi Cherti, Adel Dabah, Salem El Sayed, Wolfgang Frings, Ana Gonzalez-Nicolas, Eric B. Gregory, Kaveh Haghighi Mood, Thorsten Hater, Jenia Jitsev, Chelsea Maria John, Jan H. Meinke, Catrin I. Meyer, Pavel Mezentsev, Jan-Oliver Mirus, Stepan Nassyr, Carolin Penke, Manoel Römmer, Ujjwal Sinha, Benedikt von St. Vieth, Olaf Stein, Estela Suarez, Dennis Willsch, Ilya Zhukov
{"title":"应用驱动的超大规模:JUPITER 基准套件","authors":"Andreas Herten, Sebastian Achilles, Damian Alvarez, Jayesh Badwaik, Eric Behle, Mathis Bode, Thomas Breuer, Daniel Caviedes-Voullième, Mehdi Cherti, Adel Dabah, Salem El Sayed, Wolfgang Frings, Ana Gonzalez-Nicolas, Eric B. Gregory, Kaveh Haghighi Mood, Thorsten Hater, Jenia Jitsev, Chelsea Maria John, Jan H. Meinke, Catrin I. Meyer, Pavel Mezentsev, Jan-Oliver Mirus, Stepan Nassyr, Carolin Penke, Manoel Römmer, Ujjwal Sinha, Benedikt von St. Vieth, Olaf Stein, Estela Suarez, Dennis Willsch, Ilya Zhukov","doi":"arxiv-2408.17211","DOIUrl":null,"url":null,"abstract":"Benchmarks are essential in the design of modern HPC installations, as they\ndefine key aspects of system components. Beyond synthetic workloads, it is\ncrucial to include real applications that represent user requirements into\nbenchmark suites, to guarantee high usability and widespread adoption of a new\nsystem. Given the significant investments in leadership-class supercomputers of\nthe exascale era, this is even more important and necessitates alignment with a\nvision of Open Science and reproducibility. In this work, we present the\nJUPITER Benchmark Suite, which incorporates 16 applications from various\ndomains. It was designed for and used in the procurement of JUPITER, the first\nEuropean exascale supercomputer. We identify requirements and challenges and\noutline the project and software infrastructure setup. We provide descriptions\nand scalability studies of selected applications and a set of key takeaways.\nThe JUPITER Benchmark Suite is released as open source software with this work\nat https://github.com/FZJ-JSC/jubench.","PeriodicalId":501291,"journal":{"name":"arXiv - CS - Performance","volume":"2 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application-Driven Exascale: The JUPITER Benchmark Suite\",\"authors\":\"Andreas Herten, Sebastian Achilles, Damian Alvarez, Jayesh Badwaik, Eric Behle, Mathis Bode, Thomas Breuer, Daniel Caviedes-Voullième, Mehdi Cherti, Adel Dabah, Salem El Sayed, Wolfgang Frings, Ana Gonzalez-Nicolas, Eric B. Gregory, Kaveh Haghighi Mood, Thorsten Hater, Jenia Jitsev, Chelsea Maria John, Jan H. Meinke, Catrin I. Meyer, Pavel Mezentsev, Jan-Oliver Mirus, Stepan Nassyr, Carolin Penke, Manoel Römmer, Ujjwal Sinha, Benedikt von St. Vieth, Olaf Stein, Estela Suarez, Dennis Willsch, Ilya Zhukov\",\"doi\":\"arxiv-2408.17211\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Benchmarks are essential in the design of modern HPC installations, as they\\ndefine key aspects of system components. Beyond synthetic workloads, it is\\ncrucial to include real applications that represent user requirements into\\nbenchmark suites, to guarantee high usability and widespread adoption of a new\\nsystem. Given the significant investments in leadership-class supercomputers of\\nthe exascale era, this is even more important and necessitates alignment with a\\nvision of Open Science and reproducibility. In this work, we present the\\nJUPITER Benchmark Suite, which incorporates 16 applications from various\\ndomains. It was designed for and used in the procurement of JUPITER, the first\\nEuropean exascale supercomputer. We identify requirements and challenges and\\noutline the project and software infrastructure setup. We provide descriptions\\nand scalability studies of selected applications and a set of key takeaways.\\nThe JUPITER Benchmark Suite is released as open source software with this work\\nat https://github.com/FZJ-JSC/jubench.\",\"PeriodicalId\":501291,\"journal\":{\"name\":\"arXiv - CS - Performance\",\"volume\":\"2 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - CS - Performance\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2408.17211\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Performance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.17211","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application-Driven Exascale: The JUPITER Benchmark Suite
Benchmarks are essential in the design of modern HPC installations, as they
define key aspects of system components. Beyond synthetic workloads, it is
crucial to include real applications that represent user requirements into
benchmark suites, to guarantee high usability and widespread adoption of a new
system. Given the significant investments in leadership-class supercomputers of
the exascale era, this is even more important and necessitates alignment with a
vision of Open Science and reproducibility. In this work, we present the
JUPITER Benchmark Suite, which incorporates 16 applications from various
domains. It was designed for and used in the procurement of JUPITER, the first
European exascale supercomputer. We identify requirements and challenges and
outline the project and software infrastructure setup. We provide descriptions
and scalability studies of selected applications and a set of key takeaways.
The JUPITER Benchmark Suite is released as open source software with this work
at https://github.com/FZJ-JSC/jubench.