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Hands-on Julia for High-Performance Computing on GPUs and CPUs

Offered By: The Julia Programming Language via YouTube

Tags

Julia Courses Parallel Computing Courses High Performance Computing Courses GPU Computing Courses Distributed Computing Courses Multithreading Courses

Course Description

Overview

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Explore high-performance computing (HPC) with Julia in this comprehensive workshop. Learn to leverage Julia's flexibility and performance for modern HPC systems, covering resource configuration, distributed computing, and code optimization for CPUs and GPUs. Gain hands-on experience with GPU-powered supercomputing, focusing on developing HPC applications and workflows. Master multithreading, distributed computing using MPI.jl, Distributed.jl, and Dagger.jl, and GPU programming. Apply your knowledge to implement a parallelized application on NERSC's Perlmutter supercomputer, utilizing multiple nodes and GPUs. Discover essential performance optimization tools and techniques for each topic. By the end, acquire the skills to develop efficient HPC applications and workflows using Julia, bridging the gap between high-level programming and high-performance computing.

Syllabus

Hands-on with Julia for HPC on GPUs and CPUs | Bauer, Räss, Blaschke, Utkin | JuliaCon 2024


Taught by

The Julia Programming Language

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