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High-performance computing, or supercomputing, combined with new data-science approaches such as machine learning and artificial intelligence (AI) give scientists the ability to explore phenomena at levels of detail that would otherwise be impossible or impractical. This ranges from solving the most difficult physics calculations, to designing better drugs for cancer and COVID-19, to optimizing additive manufacturing, and more. Finding answers to those important and timely types of problems and others on supercomputing systems involves the coordination of numerous interconnected computational tasks through complex scientific workflows.

The post Flux Supercomputing Workload Manager Hits Milestones in Advance of Supporting Exascale Science appeared first on HPCwire.

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