Julia for High-Performance Computing - JuliaCon 2022

This minisymposium surveys Julia’s use in high-performance computing, covering scalable deployments, MPI, GPU programming with CUDA.jl and AMDGPU.jl, user support on supercomputing systems, and HPC applications.

Syllabus

: William F Godoy (ORNL) & Michael Schlottke-Lakemper (U Stuttgart/HLRS): Julia for High-Performance Computing
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: Samuel Omlin (CSCS): Scalability of the Julia/GPU stack
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: Simon Byrne (Caltech/CliMA): MPI.jl
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: Q&A
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: Tim Besard (Julia Computing): CUDA.jl: Update on new features and developments
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: Julian Samaroo (MIT): AMDGPU.jl: State of development and roadmap to the future
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: Q&A
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: Albert Reuther (MIT): Supporting Julia Users at MIT LL Supercomputing Center
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: Johannes Blaschke (NERSC): Supporting Julia users on NERSC’s “Cori” and “Perlmutter” systems
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: Q&A
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: Michael Schlottke-Lakemper (U Stuttgart/HLRS): Running Julia code in parallel with MPI: Lessons learned
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: Ludovic Räss (ETH Zurich): Julia and GPU-HPC for geoscience applications
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: Q&A, Discussion & Wrap up
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