External Packages Section (#90)

Author: Will Kimmerer

docs/src/index.md

@@ -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.