Skip to content

juliabloggers.com

A Julia Language Blog Aggregator

  • Home
  • Submit Your RSS/Atom Feed

Benchmarking and Profiling Julia Code

By: OpenSourcES

Re-posted from: https://opensourc.es/blog/2021-03-21-benchmarking-and-profiling-julia-code/

How to benchmark and profile your code to find spots that aren't as fast as expected?

Read more

Related

This entry was posted in Julia and tagged Julia on March 20, 2021 by OpenSourcES.

Post navigation

← Expand your DataFrames.jl toolbox: the flatten function Benchmarking and Profiling Julia Code →

RSS feed

Recent Posts

  • AMDGPU.jl 2.6 and 2.7: linear algebra, sparse arrays, and RDNA4 matrix cores
  • Metal.jl 1.10: Linear algebra, FFTs, and a faster runtime
  • SciML Small Grants Program: Two Years In, Eight More Projects Funded and Shipped
  • Julia, custom serialization with JSON.jl
  • cuTile.jl 0.3: CUDA.jl integration, and even better performance & latency
  • TestItems – Modern Julia testing
  • cuTile.jl 0.2: New features, improved performance, and Julia 1.13 support
  • Paquetes interesantes de Julia a mirar – Marzo 2026
  • Lecturas sobre DinĂ¡mica de Sistemas – Marzo 2026
  • Cool Makie Papers
Proudly powered by WordPress