Comparing the Consumption of CPU Hours with Scientific Output for the Extreme Science and Engineering Discovery Environment (XSEDE)
Identifieur interne : 000044 ( Main/Exploration ); précédent : 000043; suivant : 000045Comparing the Consumption of CPU Hours with Scientific Output for the Extreme Science and Engineering Discovery Environment (XSEDE)
Auteurs : Richard Knepper [États-Unis] ; Katy Börner [États-Unis]Source :
- PLoS ONE [ 1932-6203 ] ; 2016.
Abstract
This paper presents the results of a study that compares resource usage with publication output using data about the consumption of CPU cycles from the Extreme Science and Engineering Discovery Environment (XSEDE) and resulting scientific publications for 2,691 institutions/teams. Specifically, the datasets comprise a total of 5,374,032,696 central processing unit (CPU) hours run in XSEDE during July 1, 2011 to August 18, 2015 and 2,882 publications that cite the XSEDE resource. Three types of studies were conducted: a geospatial analysis of XSEDE providers and consumers, co-authorship network analysis of XSEDE publications, and bi-modal network analysis of how XSEDE resources are used by different research fields. Resulting visualizations show that a diverse set of consumers make use of XSEDE resources, that users of XSEDE publish together frequently, and that the users of XSEDE with the highest resource usage tend to be “traditional” high-performance computing (HPC) community members from astronomy, atmospheric science, physics, chemistry, and biology.
Url:
DOI: 10.1371/journal.pone.0157628
PubMed: 27310174
PubMed Central: 4911122
Affiliations:
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Knepper</name><affiliation wicri:level="2"><nlm:aff id="aff001"><addr-line>School of Informatics and Computing, Indiana University, Bloomington, Indiana, United States of America</addr-line></nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>School of Informatics and Computing, Indiana University, Bloomington, Indiana</wicri:regionArea><placeName><region type="state">Indiana</region></placeName></affiliation></author><author><name sortKey="Borner, Katy" sort="Borner, Katy" uniqKey="Borner K" first="Katy" last="Börner">Katy Börner</name><affiliation wicri:level="2"><nlm:aff id="aff002"><addr-line>Department of Information and Library Science, School of Informatics and Computing, Indiana University, Bloomington, Indiana, United States of America</addr-line></nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Information and Library Science, School of Informatics and Computing, Indiana University, Bloomington, Indiana</wicri:regionArea><placeName><region type="state">Indiana</region></placeName></affiliation><affiliation wicri:level="2"><nlm:aff id="aff003"><addr-line>Indiana Network Science Institute, Indiana University, Bloomington, Indiana, United States of America</addr-line></nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Indiana Network Science Institute, Indiana University, Bloomington, Indiana</wicri:regionArea><placeName><region type="state">Indiana</region></placeName></affiliation></author></analytic><series><title level="j">PLoS ONE</title><idno type="eISSN">1932-6203</idno><imprint><date when="2016">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>This paper presents the results of a study that compares resource usage with publication output using data about the consumption of CPU cycles from the Extreme Science and Engineering Discovery Environment (XSEDE) and resulting scientific publications for 2,691 institutions/teams. Specifically, the datasets comprise a total of 5,374,032,696 central processing unit (CPU) hours run in XSEDE during July 1, 2011 to August 18, 2015 and 2,882 publications that cite the XSEDE resource. Three types of studies were conducted: a geospatial analysis of XSEDE providers and consumers, co-authorship network analysis of XSEDE publications, and bi-modal network analysis of how XSEDE resources are used by different research fields. Resulting visualizations show that a diverse set of consumers make use of XSEDE resources, that users of XSEDE publish together frequently, and that the users of XSEDE with the highest resource usage tend to be “traditional” high-performance computing (HPC) community members from astronomy, atmospheric science, physics, chemistry, and biology.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Palmer, Jt" uniqKey="Palmer J">JT Palmer</name></author><author><name sortKey="Gallo, Sm" uniqKey="Gallo S">SM Gallo</name></author><author><name sortKey="Furlani, Tr" uniqKey="Furlani T">TR Furlani</name></author><author><name sortKey="Jones, Md" uniqKey="Jones M">MD Jones</name></author><author><name sortKey="Deleon, Rl" uniqKey="Deleon R">RL DeLeon</name></author><author><name sortKey="White, Jp" uniqKey="White J">JP White</name></author></analytic></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Hart, Dl" uniqKey="Hart D">DL Hart</name></author></analytic></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Mazloumian, A" uniqKey="Mazloumian A">A Mazloumian</name></author><author><name sortKey="Helbing, D" uniqKey="Helbing D">D Helbing</name></author><author><name sortKey="Lozano, S" uniqKey="Lozano S">S Lozano</name></author><author><name sortKey="Light, Rp" uniqKey="Light R">RP Light</name></author><author><name sortKey="Borner, K" uniqKey="Borner K">K Börner</name></author></analytic></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct></listBibl></div1></back></TEI><affiliations><list><country><li>États-Unis</li></country><region><li>Indiana</li></region></list><tree><country name="États-Unis"><region name="Indiana"><name sortKey="Knepper, Richard" sort="Knepper, Richard" uniqKey="Knepper R" first="Richard" last="Knepper">Richard Knepper</name></region><name sortKey="Borner, Katy" sort="Borner, Katy" uniqKey="Borner K" first="Katy" last="Börner">Katy Börner</name><name sortKey="Borner, Katy" sort="Borner, Katy" uniqKey="Borner K" first="Katy" last="Börner">Katy Börner</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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