JuliaCI / JuliaCI/BenchmarkTools.jl
Feature Request: `@benchmark f() g()`
Nobody has claimed this yet.
- Dominant language
- Julia
- Stars
- 684
- Forks
- 107
- PR merge metrics
- No merged PRs in 30d
Description
Most of the time the reason we use BenchmarkTools is not because we want to know how fast is A but rather if A is faster than B and by how much. A very good addition in my opinion to BenchmarkTools would be a macro to compare A vs B vs… X instead us guessing if one is faster than the others based on their statistics. This macro would also allow for internal bias reduction (reloading A and B and…, etc.) and running such macro for a long time should account as well for the whole machine/OS potential bias.
And I concur. In benchmarking and optimizing a function, I often define function_old() and function_new() and check if changes to function_new() have the runtime impact I expect. In a benchmarking package, ideally I can perform that comparison correctly, easily, quickly, and precisely. A well crafted varargs @benchmark that supports @benchmark function_old() function_new() would be ideal.
This extension has the additional potential to help users like me avoid common benchmark comparison pitfalls like those discussed in the linked discourse thread
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No implementation files or tests are named. Start by reading the existing @benchmark macro and how BenchmarkTools runs individual expressions, then determine how a varargs comparison should reload and measure function_old() and function_new(). Done means the macro compares multiple expressions while addressing the bias concerns described in the issue.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- performance
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100