Data-parallel programming in Julia

Table of contents

• Tutorials

  • A quick introduction to data parallelism in Julia

  • Efficient and safe approaches to mutation in data parallelism

  • Concurrency patterns for controlled parallelisms

  • 🔗 Transducers.jl / Parallel processing tutorial

  • 🔗 Transducers.jl / Splitting a string into words and counting them in parallel

  • 🔗 FLoops.jl / Parallel loops

  • 🔗 FoldsCUDA.jl / Examples

• How-to guides

  • Frequently asked questions

  • How to find data-parallel algorithms

  • 🔗 FLoops.jl / How to write X in parallel

• References

  • 🔗 FLoops.jl documentation

  • 🔗 Folds.jl documentation

  • 🔗 ThreadsX.jl documentation

  • 🔗 Transducers.jl documentation

  • 🔗 See JuliaFolds organization for more packages

• Explanation

  • Libraries for parallelism in Julia

  • Parallel reductions using semidirect products

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© Takafumi Arakaki. Last modified: January 20, 2022. Website built with Franklin.jl and the Julia programming language.