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.
☆17Updated 15 years ago
Alternatives and similar repositories for CudaDotProd
Users that are interested in CudaDotProd are comparing it to the libraries listed below
Sorting:
- A simple memory manager for CUDA designed to help Deep Learning frameworks manage memory☆299Updated 7 years ago
- CUDA Sparse-Matrix Vector Multiplication, using Sliced Coordinate format☆22Updated 7 years ago
- CUDA Data Parallel Primitives Library☆438Updated 7 years ago
- ☆95Updated 8 years ago
- Kernel Fusion and Runtime Compilation Based on NNVM☆72Updated 9 years ago
- Medusa: Building GPU-based Parallel Sparse Graph Applications with Sequential C/C++ Code☆63Updated 5 years ago
- CSR5-based SpMV on CPUs, GPUs and Xeon Phi☆108Updated last year
- This repository contains the cuStinger data structure used for dynamic graph representation.☆20Updated 6 years ago
- High optimized fft library based on CUDA(the same fast as cufft and faster some times)☆19Updated 8 years ago
- CUSP : A C++ Templated Sparse Matrix Library☆420Updated 4 months ago
- a heterogeneous multiGPU level-3 BLAS library☆46Updated 6 years ago
- A CUDNN minimal deep learning training code sample using LeNet.☆268Updated 2 years ago
- CuSha is a CUDA-based vertex-centric graph processing framework that uses G-Shards and CW representations.☆53Updated 10 years ago
- A framework for pipelined computing on GPU☆30Updated 6 years ago
- CLTune: An automatic OpenCL & CUDA kernel tuner☆182Updated 3 years ago
- High Efficiency Convolution Kernel for Maxwell GPU Architecture☆137Updated 8 years ago
- Sparse matrix computation library for GPU☆58Updated 5 years ago
- Optimized half precision gemm assembly kernels (deprecated due to ROCm)☆47Updated 8 years ago
- Open single and half precision gemm implementations☆394Updated 2 years ago
- Full-speed Array of Structures access☆176Updated 2 years ago
- Documentation for StreamExecutor open source proposal☆83Updated 9 years ago
- Winograd-based convolution implementation in OpenCL☆28Updated 8 years ago
- The SparseX sparse kernel optimization library☆43Updated 6 years ago
- Flexible GPGPU instrumentation☆89Updated 6 years ago
- CUDA Tensor Transpose (cuTT) library☆53Updated 8 years ago
- Benchmarking matrix multiplication implementations☆103Updated 9 years ago
- CUDA Matrix Factorization Library with Stochastic Gradient Descent (SGD)☆71Updated 7 years ago
- Multi-GPU Computing Benchmark Suite (CUDA)☆43Updated 8 years ago
- GPU-specialized parameter server for GPU machine learning.☆102Updated 7 years ago
- Greentea LibDNN - a universal convolution implementation supporting CUDA and OpenCL☆137Updated 8 years ago