JuliaGPU / JuliaGPU/KernelAbstractions.jl

Index type

Open
#396 6 comments 4 reactions 0 assignees View on GitHub

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breaking change
Dominant language
Julia
Stars
523
Forks
88
Avg merge
1d 11h
Merged PRs (30d)
25

Description

Int32 can be quite a bit faster and we should make sure that we use it where we can for our index calculations.

Contributor guide

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by locating the index calculations throughout the Julia package and identify where Int32 can be used safely. Compare the relevant paths for correctness and performance; done means applicable index calculations use Int32 without changing behavior.

Written by the indexing model from the issue text.

Assessment

Tech stack
julia
Domain
performance
Issue type
Refactor
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
35/100

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