chenxuhao / caffe-escoin
Escoin: Efficient Sparse Convolutional Neural Network Inference on GPUs
☆15Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for caffe-escoin
- Implementation of TSM2L and TSM2R -- High-Performance Tall-and-Skinny Matrix-Matrix Multiplication Algorithms for CUDA☆31Updated 4 years ago
- Code for paper "Design Principles for Sparse Matrix Multiplication on the GPU" accepted to Euro-Par 2018☆71Updated 4 years ago
- New batched algorithm for sparse matrix-matrix multiplication (SpMM)☆16Updated 5 years ago
- ☆31Updated 2 years ago
- ☆44Updated 5 years ago
- CSR-based SpGEMM on nVidia and AMD GPUs☆45Updated 8 years ago
- ☆15Updated last year
- Source code of the SC '23 paper: "DASP: Specific Dense Matrix Multiply-Accumulate Units Accelerated General Sparse Matrix-Vector Multipli…☆18Updated 5 months ago
- A pattern-based algorithmic autotuner for graph processing on GPUs.☆30Updated last year
- A intelligent matrix format designer for SpMV☆9Updated last year
- Efficient SpGEMM on GPU using CUDA and CSR☆50Updated last year
- Artifact for PPoPP22 QGTC: Accelerating Quantized GNN via GPU Tensor Core.☆27Updated 2 years ago
- Source code of the PPoPP '22 paper: "TileSpGEMM: A Tiled Algorithm for Parallel Sparse General Matrix-Matrix Multiplication on GPUs" by Y…☆38Updated 5 months ago
- ☆38Updated 4 years ago
- Magicube is a high-performance library for quantized sparse matrix operations (SpMM and SDDMM) of deep learning on Tensor Cores.☆81Updated last year
- This is a tuned sparse matrix dense vector multiplication(SpMV) library☆21Updated 8 years ago
- ☆24Updated 5 months ago
- ☆17Updated 4 years ago
- Sparse-dense matrix-matrix multiplication on GPUs☆14Updated 6 years ago
- Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Mult…☆37Updated 8 months ago
- study of Ampere' Sparse Matmul☆14Updated 3 years ago
- TLB Benchmarks☆32Updated 7 years ago
- CUDA Flux is a profiler for GPU applications which reports the basic block executions frequencies of compute kernels☆31Updated 3 years ago
- Mirror of http://gitlab.hpcrl.cse.ohio-state.edu/chong/ppopp19_ae, refactoring for understanding☆13Updated 3 years ago
- Benchmark for matrix multiplications between dense and block sparse (BSR) matrix in TVM, blocksparse (Gray et al.) and cuSparse.☆24Updated 4 years ago
- A GPU algorithm for sparse matrix-matrix multiplication☆66Updated 4 years ago
- Dissecting NVIDIA GPU Architecture☆82Updated 2 years ago
- ☆80Updated 7 months ago
- Artifacts of EVT ASPLOS'24☆16Updated 8 months ago
- Source code of the IPDPS '21 paper: "TileSpMV: A Tiled Algorithm for Sparse Matrix-Vector Multiplication on GPUs" by Yuyao Niu, Zhengyang…☆10Updated 2 years ago