A New Format for SIMD-accelerated SpMV
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Updated
Apr 4, 2022 - C++
A New Format for SIMD-accelerated SpMV
A Method for efficiently processing SpMV using SIMD and load balancing
OpenGraph is an open-source graph processing benchmarking suite written in pure C/OpenMP.
A cross-platform Sparse Matrix Vector Multiplication (SpMV) framework for many-core architectures (GPUs and Xeon Phi).
Hand-tuned WebAssembly implementations for efficient execution of web-based sparse computations including Sparse Matrix-Vector Multiplication (SpMV), sparse triangular solve (SpTS) and other useful sparse matrix operations.
SpMV-CNN: A set of convolutional neural nets for estimating the run time and energy consumption of the sparse matrix-vector product
Space Filling Curve sparse matrix reordering implementations
CSE701 Project 02, implementation of SpMV and SpMV_T using COO, CSC, CSR in C++ with addtional functions
Sparse Matrix: A full-featured library in Python for working with Sparse Matrix.
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