The official SuiteSparse library: a suite of sparse matrix algorithms authored or co-authored by Tim Davis, Texas A&M University.
-
Updated
May 21, 2024 - C
The official SuiteSparse library: a suite of sparse matrix algorithms authored or co-authored by Tim Davis, Texas A&M University.
GraphBLAS for Python
GraphBLAS Template Library (GBTL): C++ graph algorithms and primitives using semiring algebra as defined at graphblas.org
Python library for GraphBLAS: high-performance sparse linear algebra for scalable graph analytics
Sparse, General Linear Algebra for Graphs!
Fast and full-featured Matrix Market I/O library for C++, Python, and R
Graph algorithms written in GraphBLAS
Sparse linear Boolean algebra for Nvidia Cuda
Sparse Boolean linear algebra for Nvidia Cuda, OpenCL and CPU computations
Sparse matrix spy plot and sparkline renderer.
Functional Graph Database on GraphBLAS
Format matrices and tensors to HTML, string, and LaTeX, with Jupyter integration.
GPGPU-based GraphBLAS-like API implementation in F# (using Brahma.FSharp and OpenCL)
Graph Algorithms written in the language of linear algebra using Julia and Suite Sparse Graph Blas
Benchmark for sparse linear algebra libraries for CPU and GPU platforms.
Graph Algorithms written in the language of linear algebra using Julia and Suite Sparse Graph Blas
Add a description, image, and links to the graphblas topic page so that developers can more easily learn about it.
To associate your repository with the graphblas topic, visit your repo's landing page and select "manage topics."