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AcceleratedKernels.jl: Cross-Architecture Parallel Algorithms | Nicusan | JuliaCon Global 2025
JuliaCon 2020 | MPI.jl: Julia meets classic HPC | Simon Byrne
Code Profiling and Optimization (in Julia)
Hunting Down Allocations with Julia 1.8's Allocation Profiler | N. Daly, P. Vilter | JuliaCon 2022
Tools for fixing performance problems in Julia: ProfileView and Cthulhu
Leveraging Go in Julia: a story of interop | Piibeleht | JuliaCon Global 2026
Neuroblox.jl: Biomimetic Modeling of Neural Control Circuits | Helmut Strey | JuliaCon 2023
GeometryOps.jl: finally on the sphere! | Singhvi | JuliaCon Global 2026
Flexible Julia: a Julia IDE in IntelliJ with REPL, profiler, debugger and Pluto
Tricks.jl: Abusing Backedges for Fun and Profit | Frames Catherine White | JuliaCon 2022
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Last Updated: October 27, 2026
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Summary
Understanding the performance of Despite many efforts, it can be difficult to find good abstractions that are efficient on both CPU and GPU Compare versions. Understand performance. Discover PerfChecker. In Fall 2020 and Spring 2021, this was MIT's 18.337J/6.338J: This video demonstrates interactive tools for exploring
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