Extreme-scale workflows: a perspective from the JLESC international community

dc.contributor.authorYildiz, Orcun
dc.contributor.authorGueroudji, Amal
dc.contributor.authorBigot, Julien
dc.contributor.authorRaffin, Bruno
dc.contributor.authorBadia Sala, Rosa Maria
dc.contributor.authorPeterka, Tom
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.contributor.otherBarcelona Supercomputing Center
dc.date.accessioned2025-04-10T06:34:49Z
dc.date.issued2024-12
dc.date.lift2026-07-23
dc.description.abstractThe Joint Laboratory for Extreme-Scale Computing (JLESC) focuses on software challenges in high-performance computing systems to meet the needs of today’s science campaigns, which often require large resources, consist of multiple tasks, and generate vast amounts of data. In this context, extreme-scale workflows have been the key factor in enabling scientific discoveries by helping scientists automate the dependencies and data exchanges between workflow tasks, instead of managing those manually. In this paper we present representative extreme-scale workflows and feature workflow systems developed by JLESC participating institutions. We present lessons learned while developing these tools, alongside with the open challenges and future research directions in the field of extreme-scale workflows.
dc.description.peerreviewedPeer Reviewed
dc.description.sponsorshipThis research is supported by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research, under contract number DE-AC02- 06CH11357, program manager Margaret Lentz. The BSC author acknowledges the support of the Spanish Government (PID2019-107255GB) and by MCIN/AEI /10.13039 /501100011033 (CEX2021-001148-S), by the Departament de Recerca i Universitats de la Generalitat de Catalunya to the Research Group MPiEDist (2021 SGR 00412). The same author acknowledges the European Commission’s Horizon 2020 Framework program and the European High-Performance Computing Joint Undertaking (JU) under grant agreement No. 955558 and by MCIN/AEI/10.13039/501100011033 and the European Union NextGenerationEU/PRTR (PCI2021-121957), project eFlows4HPC. The INRIA author acknowledges the European Union’s Horizon research and innovation programme under grant agreement No 101144014.
dc.description.versionPostprint (author's final draft)
dc.format.extent12 p.
dc.identifier.citationYildiz, O. [et al.]. Extreme-scale workflows: a perspective from the JLESC international community. "Future generation computer systems", Desembre 2024, vol. 161, p. 502-513.
dc.identifier.doi10.1016/j.future.2024.07.041
dc.identifier.issn0167-739X
dc.identifier.urihttps://hdl.handle.net/2117/427817
dc.language.isoeng
dc.publisherElsevier
dc.relation.projectidinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-107255GB-C21/ES/BSC - COMPUTACION DE ALTAS PRESTACIONES VIII/
dc.relation.projectidinfo:eu-repo/grantAgreement/AEI//CEX2021-001148-S
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/955558/EU/Enabling dynamic and Intelligent workflows in the future EuroHPCecosystem/eFlows4HPC
dc.relation.projectidinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PCI2021-121957/ES/ENABLING DYNAMIC AND INTELLIGENT WORKFLOWS IN THE FUTURE EUROHPCECOSYSTEM/
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/abs/pii/S0167739X24004035
dc.rights.accessRestricted access - publisher's policy
dc.rights.licensenameAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Arquitectura de computadors
dc.subject.otherHPC
dc.subject.otherExtreme-scale workflows
dc.subject.otherIn situ
dc.subject.otherData model
dc.subject.otherData transport
dc.titleExtreme-scale workflows: a perspective from the JLESC international community
dc.typeArticle
dspace.entity.typePublication
local.citation.authorYildiz, O.; Gueroudji, A.; Bigot, J.; Raffin, B.; Badia, R.M.; Peterka, T.
local.citation.endingPage513
local.citation.publicationNameFuture generation computer systems
local.citation.startingPage502
local.citation.volume161
local.identifier.drac40918877

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