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Collaborative Research: Elements: SGCC: An Efficient GPU-oriented Data Reduction Cyberinfrastructure for Scientific Data Analysis

Organization University of ChicagoLocation CHICAGO, United StatesPosted 1 Aug 2025Deadline 31 Jul 2028
NSFUS FederalResearch GrantScience FoundationIL
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The rapid development of GPU hardware has promoted scientific supercomputing, enabling exascale data production on heterogeneous supercomputing systems. With GPU dominance in heterogeneous computing, the cyberinfrastructure of GPU-based scientific data compressors is still maturing, and several gaps need to be addressed: existing frameworks lack…

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Collaborative Research: Elements: SGCC: An Efficient GPU-oriented Data Reduction Cyberinfrastructure for Scientific Data | Dev Procure