XiaosongAI / Parallel-SpMVLinks
稀疏矩阵-向量乘的并行优化算法(OpenMP,AVX)
☆11Updated 4 years ago
Alternatives and similar repositories for Parallel-SpMV
Users that are interested in Parallel-SpMV are comparing it to the libraries listed below
Sorting:
- Fast Synchronization-Free Algorithms for Parallel Sparse Triangular Solves with Multiple Right-Hand Sides (SpTRSM)☆12Updated 5 years ago
- A Synchronization-Free Algorithm for Parallel Sparse Triangular Solves (SpTRSV)☆22Updated 5 years ago
- ☆31Updated 4 years ago
- Parallelized and vectorized SpMV on Intel Xeon Phi (Knights Landing, AVX512, KNL)☆24Updated last year
- A Method for efficiently processing SpMV using SIMD and load balancing☆16Updated 3 years ago
- OpenGraph is an open-source graph processing benchmarking suite written in pure C/OpenMP. Integrated with Sniper simulator.☆11Updated last year
- C++ package to store Matrix Market (.mtx) file format sparse matrices in Compressed Row Storage (CSR) format.☆15Updated 5 years ago
- Graph Pattern Mining☆90Updated last year
- CSR5-based SpMV on CPUs, GPUs and Xeon Phi☆107Updated last year
- ☆47Updated 3 years ago
- CSR-based SpGEMM on nVidia and AMD GPUs☆46Updated 9 years ago
- Source code of the PPoPP '22 paper: "TileSpGEMM: A Tiled Algorithm for Parallel Sparse General Matrix-Matrix Multiplication on GPUs" by Y…☆42Updated last year
- Source code for the paper: Accelerating Dynamic Graph Analytics on GPUs☆27Updated 2 years ago
- Accelerating Recommender model training by leveraging popular choices -- VLDB 2022☆31Updated last year
- Source code of the IPDPS '21 paper: "TileSpMV: A Tiled Algorithm for Sparse Matrix-Vector Multiplication on GPUs" by Yuyao Niu, Zhengyang…☆11Updated 3 years ago
- Code for paper "Design Principles for Sparse Matrix Multiplication on the GPU" accepted to Euro-Par 2018☆73Updated 4 years ago
- ☆20Updated 2 months ago
- ☆38Updated 6 years ago
- A pattern-based algorithmic autotuner for graph processing on GPUs.☆31Updated 3 months ago
- FlashMob is a shared-memory random walk system.☆32Updated 2 years ago
- Papers on Graph Analytics, Mining, and Learning☆127Updated 3 years ago
- Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"☆39Updated 3 years ago
- Artifact for PPoPP22 QGTC: Accelerating Quantized GNN via GPU Tensor Core.☆30Updated 3 years ago
- CSR-based SpMV on Heterogeneous Processors (Intel Broadwell, AMD Kaveri and nVidia Tegra K1)☆27Updated 10 years ago
- ☆10Updated last year
- A Skew-Resistant Index for Processing-in-Memory☆26Updated last year
- A sparse BLAS lib supporting multiple backends☆45Updated 7 months ago
- ☆21Updated 11 months ago
- PyGim is the first runtime framework to efficiently execute Graph Neural Networks (GNNs) on real Processing-in-Memory systems. It provide…☆31Updated 5 months ago
- ☆40Updated 3 years ago