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Twelve quick tips for designing AI-driven HPC workflows.

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Τίτλος: Twelve quick tips for designing AI-driven HPC workflows.
Συγγραφείς: Alnasir, Jamie J.1 (AUTHOR) jamie.alnasir@rhul.ac.uk
Πηγή: PLoS Computational Biology. 9/18/2026, Vol. 22 Issue 9, p1-8. 8p.
Θεματικοί όροι: *Workflow management systems, *Parallel processing, *Workflow software, *Life sciences, *Workflow management
Περίληψη: The article reports on twelve practical tips for designing artificial intelligence-driven high-performance computing (HPC) workflows, primarily for researchers in the life sciences. It emphasizes the need to integrate AI components explicitly, manage data movement efficiently, and separate distinct computational phases like training and inference. The text also advises on using heterogeneous resources, leveraging workflow-level parallelism, and employing workflow engines to orchestrate complex, adaptive pipelines. [Extracted from the article]
Βάση Δεδομένων: Academic Search Index
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  Data: The article reports on twelve practical tips for designing artificial intelligence-driven high-performance computing (HPC) workflows, primarily for researchers in the life sciences. It emphasizes the need to integrate AI components explicitly, manage data movement efficiently, and separate distinct computational phases like training and inference. The text also advises on using heterogeneous resources, leveraging workflow-level parallelism, and employing workflow engines to orchestrate complex, adaptive pipelines. [Extracted from the article]
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