JuliaGPU / JuliaGPU/KernelAbstractions.jl

How (if possible) can we get rid of SparseArrays and StaticArrays?

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#506 3 comments 0 reactions 0 assignees View on GitHub
Dominant language
Julia
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523
Forks
88
Avg merge
1d 11h
Merged PRs (30d)
25

Description

```julia
julia> @time_imports using KernelAbstractions
9.8 ms UnsafeAtomics
6.4 ms Atomix
┌ 0.8 ms SuiteSparse_jll.__init__()
116.4 ms SuiteSparse_jll 96.92% compilation time
┌ 8.2 ms SparseArrays.CHOLMOD.__init__() 95.65% compilation time
156.1 ms SparseArrays 5.03% compilation time
0.7 ms StaticArraysCore
182.0 ms StaticArrays
0.4 ms Adapt
0.2 ms AdaptStaticArraysExt
1.5 ms CEnum
0.2 ms LazyArtifacts
┌ 1.8 ms LLVMExtra_jll.__init__()
2.6 ms LLVMExtra_jll
┌ 0.2 ms LLVM.__init__()
31.2 ms LLVM
2.9 ms UnsafeAtomicsLLVM
12.1 ms KernelAbstractions
0.3 ms Statistics → SparseArraysExt
0.3 ms StaticArrays → StaticArraysStatisticsExt
```

On 1.11 these are the 2 packages adding to the bulk of load times. From the code, I could see `StaticArrays` being used for CPU shared memory implementation. Not sure where SparseArrays are being used exactly. Is there a way we can move these 2 dependencies to extensions?

I can create a PR, but I need some help in figuring out where these packages are being used :sweat_smile: (and if at all this change is welcome)

Contributor guide

No contributing guide indexed for this repository

Research direction

Start by tracing all uses of SparseArrays and StaticArrays in the repository and checking the dependency and extension configuration. Use the reported @time_imports output as a baseline and determine whether either dependency can be moved without breaking supported backends; done means a documented decision and, if feasible, a tested dependency change.

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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