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@PRONTOLab

Program geNeration Transformation and Optimization Lab

Program geNeration Transformation and Optimization (PRONTO) Lab asks the question how can we enable everyone to leverage computing and ML?

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  1. GB-25 GB-25 Public

    Reusing AI compilation pipelines to optimize exascale climate simulations on traditional and cloud HPC systems

    Julia 5 4

  2. AI-Component-Eval AI-Component-Eval Public

    Shell 1

  3. BayesMM.jl BayesMM.jl Public

    Python 1

  4. nway nway Public

    Forked from JohannesBuchner/nway

    nway -- Bayesian cross-matching of astronomical catalogues

    Python 1

  5. FPOpt-FPBench FPOpt-FPBench Public

    Racket

  6. www www Public

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Showing 10 of 11 repositories
  • GB-25 Public

    Reusing AI compilation pipelines to optimize exascale climate simulations on traditional and cloud HPC systems

    Julia 5 4 9 20 Updated Apr 5, 2025
  • 598APE-HW3 Public
    C++ 0 0 0 0 Updated Apr 2, 2025
  • FPOpt-FPBench Public
    Racket 0 MIT 0 0 0 Updated Mar 28, 2025
  • nway Public Forked from JohannesBuchner/nway

    nway -- Bayesian cross-matching of astronomical catalogues

    Python 1 17 0 0 Updated Mar 27, 2025
  • 598APE-HW2 Public
    C++ 0 Apache-2.0 1 0 0 Updated Mar 14, 2025
  • BayesMM.jl Public
    Python 1 0 0 0 Updated Feb 27, 2025
  • pjrt-ifrt-test Public
    Starlark 0 0 0 0 Updated Feb 15, 2025
  • 598APE-HW1 Public
    C++ 0 0 0 0 Updated Feb 10, 2025
  • AI-Component-Eval Public
    Shell 1 0 0 0 Updated Jan 8, 2025
  • www Public
    0 0 0 0 Updated Sep 18, 2024
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