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Conference

ProvLight: Efficient Workflow Provenance Capture on the Edge-to-Cloud Continuum

Subjects: Provenance; Lineage; WorkflowsSanta Fe; New Mexico; United States

  • Source: Cluster 2023 - IEEE International Conference on Cluster Computing ; https://hal.science/hal-04161546 ; Cluster 2023 - IEEE International Conference on Cluster Computing, Oct 2023, Santa Fe, New

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Conference

Efficient Runtime Capture of Multiworkflow Data Using Provenance

Subjects: Data provenance; Scientific workflow management; Computational Science and Engineering (CSE)San Diego; United States

  • Source: 2019 15th International Conference on eScience (eScience)eScience 2019 - 15th International Conference on eSciencehttps://hal-lirmm.ccsd.cnrs.fr/lirmm-02265932eScience 2019 - 15th

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Conference

Provenance Data in the Machine Learning Lifecycle in Computational Science and Engineering

Subjects: Machine Learning Lifecycle; Workflow Provenance; Computational Science and EngineeringDenver; United States

  • Source: WORKS 2019 - Workflows in Support of Large-Scale Science co-located with SC 2019 - ACM/IEEE International Conference for High Performance Computing, Networking, Storage, and Analysis ;

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Conference

Tracking of Online Parameter Fine-tuning in Scientific Workflows

Subjects: [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]; [INFO.INFO-DC]Computer Science [cs]/Distributed; ParallelDenver; United States

  • Source: 12th Workflows in Support of Large-Scale Science (WORKS) Workshop in conjunction with ACM/IEEE SupercomputingWORKS: Workflows in Support of Large-scale Science

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Conference

Managing Hot Metadata for Scientific Workflows on Multisite Clouds

Subjects: geo-distributed applications; scientific workflows; multisite cloudsWashington; DC; United States

  • Source: IEEE International Conference on Big Data ; Big Data ; https://inria.hal.science/hal-01395715 ; Big Data, Dec 2016, Washington, DC, United States. pp.390-397,

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Conference

In Situ Data Steering on Sedimentation Simulation with Provenance Data

Subjects: libMesh; in situ data analysis; raw data analysisSalt Lake City; United States

  • Source: SC: High Performance Computing, Networking, Storage and Analysis ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-01400532 ; SC: High Performance Computing, Networking, Storage and Analysis, Nov 2016, Salt Lake

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Conference

Online Input Data Reduction in Scientific Workflows

Subjects: Scientific Workflows; Human in the Loop; Online Data ReductionSalt Lake City; United States

  • Source: 11th Workshop on Workflows in Support of Large-scale Science, in conjunction with SC2016WORKS: Workflows in Support of Large-scale Sciencehttps://hal-lirmm.ccsd.cnrs.fr/lirmm-01400538

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