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Preparing for Aurora: Ensuring the Portability of Deep Learning Software to Explore Fusion Energy

Published: January 6, 2022

Jan. 6, 2022 -- As part of a series aimed at sharing best practices in preparing applications for Aurora, Argonne National Laboratory is highlighting

Source: hpcwire.com

Related Topics:

William TangKyle FelkerDiscovery In Fusion Energy ScienceAurora Early Science ProgramUs Department Of EnergyPrinceton Plasma Physics LaboratoryOffice Of ScienceArgonne National LaboratoryArgonne Leadership Computing FacilityDeep Learning DiscoveryFusion Energy ScienceFusion Recurrent Neural NetArgonne NationalData ParallelInsight Systems