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Apr 11, 2022
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External Packages Section #90

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9db4f2a
add callouts
rayegun Apr 11, 2022
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be more objective
rayegun Apr 11, 2022
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11 changes: 11 additions & 0 deletions docs/src/index.md
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Expand Up @@ -233,3 +233,14 @@ permute!{Tv, Ti, Tp <: Integer, Tq <: Integer}(::SparseMatrixCSC{Tv,Ti}, ::Spars
```@meta
DocTestSetup = nothing
```
# Noteworthy external packages

Several other Julia packages provide sparse matrix implementations that should be mentioned:

1. [SuiteSparseGraphBLAS.jl](https://github.com/JuliaSparse/SuiteSparseGraphBLAS.jl) is a wrapper over the fast, multithreaded SuiteSparse:GraphBLAS C library. On CPU this is typically the fastest option, often significantly outperforming MKLSparse.

2. [CUDA.jl](https://github.com/JuliaGPU/CUDA.jl) exposes the [CUSPARSE](https://docs.nvidia.com/cuda/cusparse/index.html) library for GPU sparse matrix operations.

3. [SparseMatricesCSR.jl](https://github.com/gridap/SparseMatricesCSR.jl) provides a Julia native implementation of the Compressed Sparse Rows (CSR) format.

4. [MKLSparse.jl](https://github.com/JuliaSparse/MKLSparse.jl) accelerates SparseArrays sparse-dense matrix operations using Intel's MKL library.