{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T22:46:25Z","timestamp":1777675585367,"version":"3.51.4"},"reference-count":28,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[2019,9,12]],"date-time":"2019-09-12T00:00:00Z","timestamp":1568246400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/501100002322","name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","doi-asserted-by":"publisher","award":["001"],"award-info":[{"award-number":["001"]}],"id":[{"id":"10.13039\/501100002322","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["The International Journal of High Performance Computing Applications"],"published-print":{"date-parts":[[2020,3]]},"abstract":"<jats:p>In this article, we study the I\/O performance of the Santos Dumont supercomputer, since the gap between processing and data access speeds causes many applications to spend a large portion of their execution on I\/O operations. For a large-scale expensive supercomputer, it is essential to ensure applications achieve the best I\/O performance to promote efficient usage. We monitor a week of the machine\u2019s activity and present a detailed study on the obtained metrics, aiming at providing an understanding of its workload. From experiences with one numerical simulation, we identified large I\/O performance differences between the MPI implementations available to users. We investigated the phenomenon and narrowed it down to collective I\/O operations with small request sizes. For these, we concluded that the customized MPI implementation by the machine\u2019s vendor (used by more than 20% of the jobs) presents the worst performance. By investigating the issue, we provide information to help improve future MPI-IO collective write implementations and practical guidelines to help users and steer future system upgrades. Finally, we discuss the challenge of describing applications I\/O behavior without depending on information from users. That allows for identifying the application\u2019s I\/O bottlenecks and proposing ways of improving its I\/O performance. We propose a methodology to do so, and use GROMACS, the application with the largest number of jobs in 2017, as a case study.<\/jats:p>","DOI":"10.1177\/1094342019868526","type":"journal-article","created":{"date-parts":[[2019,9,12]],"date-time":"2019-09-12T22:59:45Z","timestamp":1568329185000},"page":"227-245","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":5,"title":["I\/O performance of the Santos Dumont supercomputer"],"prefix":"10.1177","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3915-1135","authenticated-orcid":false,"given":"Jean Luca","family":"Bez","sequence":"first","affiliation":[{"name":"Institute of Informatics, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andr\u00e9 Ramos","family":"Carneiro","sequence":"additional","affiliation":[{"name":"Laboratory for Scientific Computing (LNCC), Petr\u00f3polis, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pablo Jos\u00e9","family":"Pavan","sequence":"additional","affiliation":[{"name":"Institute of Informatics, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Val\u00e9ria Soldera","family":"Girelli","sequence":"additional","affiliation":[{"name":"Institute of Informatics, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Francieli Zanon","family":"Boito","sequence":"additional","affiliation":[{"name":"Universit\u00e9 Grenoble Alpes, Inria, CNRS, Grenoble INP, LIG, Grenoble, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bruno Alves","family":"Fagundes","sequence":"additional","affiliation":[{"name":"Laboratory for Scientific Computing (LNCC), Petr\u00f3polis, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Carla","family":"Osthoff","sequence":"additional","affiliation":[{"name":"Laboratory for Scientific Computing (LNCC), Petr\u00f3polis, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pedro Leite","family":"da Silva Dias","sequence":"additional","affiliation":[{"name":"Institute of Astronomy, Geophysics and Atmospheric Sciences, University of S\u00e3o Paulo (USP), S\u00e3o Paulo, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jean-Fran\u00e7ois","family":"M\u00e9haut","sequence":"additional","affiliation":[{"name":"Universit\u00e9 Grenoble Alpes, Inria, CNRS, Grenoble INP, LIG, Grenoble, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Philippe OA","family":"Navaux","sequence":"additional","affiliation":[{"name":"Institute of Informatics, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2019,9,12]]},"reference":[{"key":"bibr1-1094342019868526","doi-asserted-by":"publisher","DOI":"10.1145\/3152891"},{"key":"bibr2-1094342019868526","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-30218-6_22"},{"key":"bibr3-1094342019868526","doi-asserted-by":"publisher","DOI":"10.1007\/11557265_54"},{"key":"bibr4-1094342019868526","doi-asserted-by":"publisher","DOI":"10.1109\/PDP2018.2018.00015"},{"key":"bibr5-1094342019868526","doi-asserted-by":"publisher","DOI":"10.1145\/2027066.2027068"},{"key":"bibr6-1094342019868526","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPS.2009.5161029"},{"key":"bibr7-1094342019868526","unstructured":"Crouch C and ATOS (2015) ATOS supports Brazil in the race to High-Performance Computing with the installation of a Bull supercomputer in Petropolis (RJ). 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