Pub Date : 2024-05-21DOI: 10.1109/mcse.2024.3402389
David Y. Hancock, Jeremy Fischer, John Michael Lowe, Scott Michael, Le Mai Weakley
{"title":"Jetstream2: Research Clouds as a Convergence Accelerator","authors":"David Y. Hancock, Jeremy Fischer, John Michael Lowe, Scott Michael, Le Mai Weakley","doi":"10.1109/mcse.2024.3402389","DOIUrl":"https://doi.org/10.1109/mcse.2024.3402389","url":null,"abstract":"","PeriodicalId":10553,"journal":{"name":"Computing in Science & Engineering","volume":"16 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141145741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-09DOI: 10.1109/mcse.2024.3398054
Jesper Løve Hinrich, Morten Mørup
{"title":"Probabilistic Block Term Decomposition for the Modelling of Higher-order Arrays","authors":"Jesper Løve Hinrich, Morten Mørup","doi":"10.1109/mcse.2024.3398054","DOIUrl":"https://doi.org/10.1109/mcse.2024.3398054","url":null,"abstract":"","PeriodicalId":10553,"journal":{"name":"Computing in Science & Engineering","volume":"4 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2024-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140929109","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-08DOI: 10.1109/mcse.2024.3397768
D. McCallen, A. Pitarka, H. Tang, R. Pankajakshan, N.A. Petersson, M. Miah
{"title":"Transformational Regional-Scale Earthquake Simulations with the DOE EarthQuake SIMulation (EQSIM) Exascale Framework","authors":"D. McCallen, A. Pitarka, H. Tang, R. Pankajakshan, N.A. Petersson, M. Miah","doi":"10.1109/mcse.2024.3397768","DOIUrl":"https://doi.org/10.1109/mcse.2024.3397768","url":null,"abstract":"","PeriodicalId":10553,"journal":{"name":"Computing in Science & Engineering","volume":"155 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140929005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-06DOI: 10.1109/mcse.2024.3397209
Richard Gerber, Balint Joo, Scott Parker
{"title":"Deploying Optimized Scientific and Engineering Applications on Exascale Systems","authors":"Richard Gerber, Balint Joo, Scott Parker","doi":"10.1109/mcse.2024.3397209","DOIUrl":"https://doi.org/10.1109/mcse.2024.3397209","url":null,"abstract":"","PeriodicalId":10553,"journal":{"name":"Computing in Science & Engineering","volume":"66 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2024-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140886619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-30DOI: 10.1109/mcse.2024.3395016
James M. Willenbring, Sameer S. Shende, Todd Gamblin
{"title":"Providing a flexible and comprehensive software stack via Spack, E4S, and SDKs","authors":"James M. Willenbring, Sameer S. Shende, Todd Gamblin","doi":"10.1109/mcse.2024.3395016","DOIUrl":"https://doi.org/10.1109/mcse.2024.3395016","url":null,"abstract":"","PeriodicalId":10553,"journal":{"name":"Computing in Science & Engineering","volume":"98 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2024-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140834750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-26DOI: 10.1109/mcse.2024.3394164
Maxime Martinasso, Mark Klein, Benjamin Cumming, Miguel Gila, Felipe Cruz, Alberto Madonna, Manuel Sopena Ballesteros, Sadaf R. Alam, Thomas C. Schulthess
{"title":"Versatile software-defined cluster for HPC using Cloud abstractions","authors":"Maxime Martinasso, Mark Klein, Benjamin Cumming, Miguel Gila, Felipe Cruz, Alberto Madonna, Manuel Sopena Ballesteros, Sadaf R. Alam, Thomas C. Schulthess","doi":"10.1109/mcse.2024.3394164","DOIUrl":"https://doi.org/10.1109/mcse.2024.3394164","url":null,"abstract":"","PeriodicalId":10553,"journal":{"name":"Computing in Science & Engineering","volume":"92 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2024-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140805328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-22DOI: 10.1109/mcse.2023.3348943
Lois Curfman McInnes, Paige Kinsley, Mary Ann Leung, Daniel Martin, Suzanne Parete-Koon, Sreeranjani Jini Ramprakash
The U.S. Department of Energy (DOE) has been a long-standing leader in driving advances in science and technology through advanced computing. However, DOE laboratories are currently facing urgent workforce challenges, particularly in terms of underrepresentation from key communities, including people of color, women, persons with disabilities, and first-generation scholars. This paper introduces the work carried out as part of the Exascale Computing Project (ECP) Broadening Participation Initiative, which aims to address workforce challenges through a lens that considers the distinct needs and culture of high-performance computing (HPC). The work focuses on three main efforts: hosting Intro to HPC Bootcamps, expanding the Sustainable Research Pathways (SRP) internship and workforce development program, and establishing an HPC Workforce Development and Retention Action Group. The paper also highlights various workforce efforts throughout the computational science community and explores opportunities for future work aimed at broadening participation in HPC.
{"title":"Building a Diverse and Inclusive HPC Community for Mission-Driven Team Science","authors":"Lois Curfman McInnes, Paige Kinsley, Mary Ann Leung, Daniel Martin, Suzanne Parete-Koon, Sreeranjani Jini Ramprakash","doi":"10.1109/mcse.2023.3348943","DOIUrl":"https://doi.org/10.1109/mcse.2023.3348943","url":null,"abstract":"The U.S. Department of Energy (DOE) has been a long-standing leader in driving advances in science and technology through advanced computing. However, DOE laboratories are currently facing urgent workforce challenges, particularly in terms of underrepresentation from key communities, including people of color, women, persons with disabilities, and first-generation scholars. This paper introduces the work carried out as part of the Exascale Computing Project (ECP) Broadening Participation Initiative, which aims to address workforce challenges through a lens that considers the distinct needs and culture of high-performance computing (HPC). The work focuses on three main efforts: hosting Intro to HPC Bootcamps, expanding the Sustainable Research Pathways (SRP) internship and workforce development program, and establishing an HPC Workforce Development and Retention Action Group. The paper also highlights various workforce efforts throughout the computational science community and explores opportunities for future work aimed at broadening participation in HPC.","PeriodicalId":10553,"journal":{"name":"Computing in Science & Engineering","volume":"59 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140805189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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