Learn to optimize Julia code for maximum performance in this technical webinar that explores essential tools and techniques for performance tuning. Discover how to leverage report tools like @profile and SnoopCompile.jl, understand the optimization thresholds in Core.Inference, and master performance-enhancing features such as Experimental.@optlevel and @nospecialize. Explore methods for reducing runtime and compile times while gaining insights into future improvements and regression tracking across Julia releases. Gain practical knowledge to ensure your Julia code performs at its peak efficiency, making the most of the language's reputation as the fastest modern high-level programming language.
Overview
Syllabus
Performance Benchmarking in Julia
Taught by
JuliaHub