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In view of upcoming exascale supercomputing facilities, programming efficiently high-performance GPU hardware is of increasing importance for each scientific field that relies on compute-heavy simulations, lattice quantum chromodynamics (lattice QCD) being a prominent example. What kind of changes in the popular codebases are required in order to leverage the computational power and throughput of the GPU thoroughly? This workshop aims to discuss recent progress in lattice QCD and HPC community in developing simulation software for various GPU architectures. At the same time, we plan to facilitate exchange between the lattice QCD community and HPC experts from adjacent disciplines and introduce students to challenges in these rapidly developing fields. The workshop includes a dedicated session on machine learning applications as well as talks aimed at a broader HPC audience.
Youtube recording of the first day: https://www.youtube.com/watch?v=Kfy4FSsFtSw
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