HPC with Julia

Workshop materials for HPC with Julia.

An overview of HPC methods in Julia programming. Topics include profiling and benchmarking, memory use, data I/O, and parallel programming. Assumes basic proficiency in Julia programming.

Slides: https://uschpc.github.io/workshop-hpc-julia/

Learning objectives:

• Explain basic HPC concepts
• Profile and benchmark Julia code
• Develop parallel Julia code
• Identify HPC-oriented Julia packages
• Use Julia on CARC HPC clusters

Example job scripts:

• serial.job
• threads.job
• distributed.job
• mpi.job
• gpu.job
• array.job

Additional resources

• Using Julia on CARC HPC clusters
• Julia language
• Julia documentation
• Julia style guide
• Julia performance tips
• JuliaHub
• JuliaParallel
• JuliaGPU
• Flux

Tutorials:

• Julia Learning
• JuliaAcademy

Web books:

• Think Julia: How to Think Like a Computer Scientist
• Julia Data Science