Numerical linear algebra software package

sparse matrix pre-processing library

The SparseX sparse kernel optimization library

Parallelized and vectorized SpMV on Intel Xeon Phi (Knights Landing, AVX512, KNL)

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.

Parallel SpMV using CSR representation, built in CUDA

OpenGraph is an open-source graph processing benchmarking suite written in pure C/OpenMP. Integrated with Sniper simulator.

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.

Graph Processing Framework that supports || OpenMP || CAPI

Mixed and Multi-Precision SpMV for GPUs with Row-wise Precision Selection.

Conflict-free symmetric SpMV library

Distributed-SpMV, c/mpi/openmp, this work was accepted by IEEE/ACM CCGrid'23.

Code associated with my master thesis at the University of Bergen

Serial and parallel (CUDA) implementations of SpMV using CSR format

Efficient Sparse Matrix-Vector Multiplication (SpMV) using ModernGPU (MTX + CSR formats).

Implement "Parallel Sparse Matrix-Vector and Matrix-Transpose-Vector Multiplication Using Compressed Sparse Blocks"

Sequential and parallel (GPU based) implementation of a Sparse Matrix Vector Multiplication using (Compressed Sparse Row (CSR) matrix format.