Frontiers in Scientific Workflows: Pervasive Integration with High-Performance Computing

Rafael Ferreira Da Silva; Rosa M. Badia; Deborah Bard; Ian T. Foster; Shantenu Jha; Frederic Suter

doi:10.1109/MC.2024.3401542

Frontiers in Scientific Workflows: Pervasive Integration with High-Performance Computing

Rafael Ferreira Da Silva
, Rosa M. Badia
, Deborah Bard
, Ian T. Foster
, Shantenu Jha
, Frederic Suter

Research output: Contribution to specialist publication › Article

8 Scopus citations

Abstract

We address the increasing complexity of scientific workflows in the context of high-performance computing (HPC) and their associated need for robust, adaptable, and flexible computational support systems. We explore five key trends as well as future challenges and opportunities for scientific workflows and HPC technologies.

Original language	English
Pages	36-44
Number of pages	9
Volume	57
No	8
Specialist publication	Computer
DOIs	https://doi.org/10.1109/MC.2024.3401542
State	Published - 2024

Funding

This research used resources of the Oak Ridge Leadership Computing Facility at Oak Ridge National Laboratory, supported by the Office of Science of the U.S. Department of Energy (DOE) under Contract DE-AC05-00OR22725. This work was supported in part by the DOE under Contract DE-AC02-06CH11357.

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10.1109/MC.2024.3401542

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title = "Frontiers in Scientific Workflows: Pervasive Integration with High-Performance Computing",

abstract = "We address the increasing complexity of scientific workflows in the context of high-performance computing (HPC) and their associated need for robust, adaptable, and flexible computational support systems. We explore five key trends as well as future challenges and opportunities for scientific workflows and HPC technologies.",

author = "\{Ferreira Da Silva\}, Rafael and Badia, \{Rosa M.\} and Deborah Bard and Foster, \{Ian T.\} and Shantenu Jha and Frederic Suter",

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AU - Jha, Shantenu

AU - Suter, Frederic

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JO - Computer

JF - Computer

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Frontiers in Scientific Workflows: Pervasive Integration with High-Performance Computing

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