ksopyla / CudaDotProdLinks
Different implementation of sparse matrix multiplication. All matrices are in CSR format. The code contains different CUDA kernels for multiply sparse matrix vs dense vector and sparse matrix vs another sparse matrix. It contains several cuda kernel for sparse matrix dense vector product and sparse matrix sparse matrix product.
☆16Updated 14 years ago
Alternatives and similar repositories for CudaDotProd
Users that are interested in CudaDotProd are comparing it to the libraries listed below
Sorting:
- a heterogeneous multiGPU level-3 BLAS library☆45Updated 5 years ago
- CUDA Matrix Factorization Library with Stochastic Gradient Descent (SGD)☆71Updated 7 years ago
- CUDA Sparse-Matrix Vector Multiplication, using Sliced Coordinate format☆22Updated 7 years ago
- A simple memory manager for CUDA designed to help Deep Learning frameworks manage memory☆297Updated 6 years ago
- High Efficiency Convolution Kernel for Maxwell GPU Architecture☆134Updated 8 years ago
- Kernel Fusion and Runtime Compilation Based on NNVM☆70Updated 8 years ago
- Greentea LibDNN - a universal convolution implementation supporting CUDA and OpenCL☆135Updated 8 years ago
- Optimized half precision gemm assembly kernels (deprecated due to ROCm)☆47Updated 8 years ago
- Sparse matrix computation library for GPU☆56Updated 4 years ago
- Full-speed Array of Structures access☆171Updated 2 years ago
- ☆91Updated 8 years ago
- sparse matrix pre-processing library☆82Updated last year
- Library for fast image convolution in neural networks on Intel Architecture☆29Updated 8 years ago
- Efficient LDA solution on GPUs.☆24Updated 6 years ago
- High optimized fft library based on CUDA(the same fast as cufft and faster some times)☆18Updated 8 years ago
- Benchmarking matrix multiplication implementations☆100Updated 8 years ago
- Training deep neural networks with low precision multiplications☆63Updated 9 years ago
- GPU-specialized parameter server for GPU machine learning.☆101Updated 7 years ago
- CSR-based SpMV on Heterogeneous Processors (Intel Broadwell, AMD Kaveri and nVidia Tegra K1)☆27Updated 10 years ago
- This repository contains the cuStinger data structure used for dynamic graph representation.☆19Updated 6 years ago
- A fast deep neural network library (CPU) for speech recognition☆84Updated 6 years ago
- kmeans☆54Updated 9 years ago
- Boda: A C++ Framework for Efficient Experiments in Computer Vision☆64Updated 5 years ago
- Medusa: Building GPU-based Parallel Sparse Graph Applications with Sequential C/C++ Code☆61Updated 4 years ago
- A CUDA implementation of the PageRank Pipeline Benchmark☆32Updated 8 years ago
- Benchmarking State-of-the-Art Deep Learning Software Tools☆169Updated 7 years ago
- CNNs in Halide☆23Updated 9 years ago
- CSR5-based SpMV on CPUs, GPUs and Xeon Phi☆104Updated last year
- A Valgrind extension for CUDA, unofficial mirror for https://www.hlrs.de/organization/av/spmt/research/cudagrind/☆8Updated 9 years ago
- Cyclades☆28Updated 7 years ago