lorentzbf / OpSparse
Source code of the paper "OpSparse: a Highly Optimized Framework for Sparse General Matrix Multiplication on GPUs"
☆13Updated 2 years ago
Alternatives and similar repositories for OpSparse
Users that are interested in OpSparse are comparing it to the libraries listed below
Sorting:
- Source code of the SC '23 paper: "DASP: Specific Dense Matrix Multiply-Accumulate Units Accelerated General Sparse Matrix-Vector Multipli…☆26Updated 11 months ago
- Source code of the IPDPS '21 paper: "TileSpMV: A Tiled Algorithm for Sparse Matrix-Vector Multiplication on GPUs" by Yuyao Niu, Zhengyang…☆11Updated 2 years ago
- Efficient SpGEMM on GPU using CUDA and CSR☆54Updated last year
- Source code of the PPoPP '22 paper: "TileSpGEMM: A Tiled Algorithm for Parallel Sparse General Matrix-Matrix Multiplication on GPUs" by Y…☆39Updated 11 months ago
- A Row Decomposition-based Approach for Sparse Matrix Multiplication on GPUs☆21Updated last year
- Code for paper "Design Principles for Sparse Matrix Multiplication on the GPU" accepted to Euro-Par 2018☆71Updated 4 years ago
- ☆31Updated 10 months ago
- CSR-based SpGEMM on nVidia and AMD GPUs☆46Updated 9 years ago
- ☆31Updated 2 years ago
- ☆26Updated last year
- ☆13Updated 2 weeks ago
- ☆51Updated 5 years ago
- Implementation and analysis of five different GPU based SPMV algorithms in CUDA☆39Updated 6 years ago
- Multi-GPU dynamic scheduler using PGAS style cross-GPU communication☆28Updated last year
- A pattern-based algorithmic autotuner for graph processing on GPUs.☆30Updated 5 months ago
- Mirror of http://gitlab.hpcrl.cse.ohio-state.edu/chong/ppopp19_ae, refactoring for understanding☆16Updated 3 years ago
- Implementation of TSM2L and TSM2R -- High-Performance Tall-and-Skinny Matrix-Matrix Multiplication Algorithms for CUDA☆32Updated 4 years ago
- C++ package to store Matrix Market (.mtx) file format sparse matrices in Compressed Row Storage (CSR) format.☆14Updated 5 years ago
- Magicube is a high-performance library for quantized sparse matrix operations (SpMM and SDDMM) of deep learning on Tensor Cores.☆88Updated 2 years ago
- SpV8 is a SpMV kernel written in AVX-512. Artifact for our SpV8 paper @ DAC '21.☆29Updated 4 years ago
- ☆10Updated 3 years ago
- ☆9Updated 2 years ago
- ☆91Updated 8 years ago
- A intelligent matrix format designer for SpMV☆10Updated last year
- ☆18Updated last year
- ☆10Updated last year
- Workload-Aware Co-Optimization☆8Updated 2 years ago
- Artifact for PPoPP22 QGTC: Accelerating Quantized GNN via GPU Tensor Core.☆28Updated 3 years ago
- Horizontal Fusion☆24Updated 3 years ago
- A GPU algorithm for sparse matrix-matrix multiplication☆70Updated 4 years ago