Extreme-scale workflows: a perspective from the JLESC international community
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hdl:2117/427817
Document typeArticle
Defense date2024-12
PublisherElsevier
Rights accessRestricted access - publisher's policy
(embargoed until 2026-07-23)
This work is protected by the corresponding intellectual and industrial property rights.
Except where otherwise noted, its contents are licensed under a Creative Commons license
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Attribution-NonCommercial-NoDerivs 4.0 International
ProjectBSC - COMPUTACION DE ALTAS PRESTACIONES VIII (AEI-PID2019-107255GB-C21)
eFlows4HPC - Enabling dynamic and Intelligent workflows in the future EuroHPCecosystem (EC-H2020-955558)
ENABLING DYNAMIC AND INTELLIGENT WORKFLOWS IN THE FUTURE EUROHPCECOSYSTEM (AEI-PCI2021-121957)
eFlows4HPC - Enabling dynamic and Intelligent workflows in the future EuroHPCecosystem (EC-H2020-955558)
ENABLING DYNAMIC AND INTELLIGENT WORKFLOWS IN THE FUTURE EUROHPCECOSYSTEM (AEI-PCI2021-121957)
Abstract
The 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.
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.
ISSN0167-739X
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