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JuliaGPU
GPUArrays.jl
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Implement sparse arrays for every back-end
- #745
#745
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maleadt
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Implement sparse arrays for every back-end
#745
maleadt
wants to merge 11 commits into
main
JuliaGPU/GPUArrays.jl:main
from
tb/sparse
JuliaGPU/GPUArrays.jl:tb/sparse
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Commits
Commits on Nov 6, 2026
Replace the sparse back-end hooks with storage-parametric types
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Convert between dense and sparse arrays and materialize transposes
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Assemble sparse arrays from coordinates on the device
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Bump GPUArrays to 13.0.0
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Implement sparse × dense products
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Broadcast over COO and mixed sparse formats
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Implement structural operations on sparse matrices
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Index GPU sparse arrays with ranges and slices
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Add dot products, count/any/all, and element-type conversions
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Multiply sparse matrices
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Add value equality, in-place broadcast, wrapper arithmetic and concatenation
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