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HPC, Big Data, and AI Convergence Towards Exascale

Challenge and Vision

dc.contributor.editorTerzo, Olivier
dc.contributor.editorMartinovič, Jan
dc.date.accessioned2022-01-11T04:02:56Z
dc.date.available2022-01-11T04:02:56Z
dc.date.issued2022
dc.date.submitted2022-01-10T10:45:39Z
dc.identifierOCN: 1273727420
dc.identifierhttps://library.oapen.org/handle/20.500.12657/52227
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/75241
dc.description.abstractArtificial Intelligence, Deep Learning, Machine Learning, Supercomputing
dc.languageEnglish
dc.rightsopen access
dc.subject.otherArtificial Intelligence, Deep Learning, Machine Learning, Supercomputing
dc.subject.otherthema EDItEUR::U Computing and Information Technology::UY Computer science
dc.subject.otherthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering
dc.subject.otherthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering
dc.titleHPC, Big Data, and AI Convergence Towards Exascale
dc.title.alternativeChallenge and Vision
dc.typebook
oapen.relation.isPublishedByfa69b019-f4ee-4979-8d42-c6b6c476b5f0
oapen.relation.hasChapterChapter 2 The LEXIS Platform for Distributed Workflow Execution and Data Management
oapen.relation.hasChapterChapter 4 Data System and Data Management in a Federation of HPC/ Cloud Centers
oapen.relation.isbn9781032009841
oapen.relation.isbn9781032009919
oapen.relation.isbn9781003176664
oapen.imprintCRC Press
peerreview.review.typeProposal
peerreview.anonymitySingle-anonymised
peerreview.reviewer.typeInternal editor
peerreview.reviewer.typeExternal peer reviewer
peerreview.review.stagePre-publication
peerreview.open.reviewNo
peerreview.publish.responsibilityPublisher
peerreview.idbc80075c-96cc-4740-a9f3-a234bc2598f1
peerreview.titleProposal review


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