DrZhang99 / algorithms-cudaLinks
parallel algorithm based on cuda
☆60Updated 7 years ago
Alternatives and similar repositories for algorithms-cuda
Users that are interested in algorithms-cuda are comparing it to the libraries listed below
Sorting:
- CNN accelerated by cuda. Test on mnist and finilly get 99.76%☆185Updated 7 years ago
- Deep Learning/GPU Architect/Autonomous Driving Positions☆81Updated 5 years ago
- Optimized half precision gemm assembly kernels (deprecated due to ROCm)☆47Updated 8 years ago
- The CMake version of cuda_by_example☆150Updated 5 years ago
- OpenCL for Nets - A Deep Learning Framework based on OpenCL, written by C++. Supports popular MLP, RNN(LSTM), CNN(ResNet). Friendly debug…☆68Updated 6 years ago
- flexible-gemm conv of deepcore☆17Updated 5 years ago
- Fast CUDA Kernels for ResNet Inference.☆180Updated 6 years ago
- ICML2017 MEC: Memory-efficient Convolution for Deep Neural Network C++实现(非官方)☆17Updated 6 years ago
- kmeans clustering with multi-GPU capabilities☆119Updated 2 years ago
- RDMA Optimization on MXNet☆14Updated 7 years ago
- A Computation Graph Virtual Machine based ML Framework☆108Updated last year
- ☆46Updated 5 years ago
- This is a CNN Analyzer tool, based on Netscope by dgschwend/netscope☆42Updated 7 years ago
- Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)☆193Updated 6 years ago
- Windows Visual Studio Solutions for class "Introduction to Parallel Programming"☆19Updated 6 years ago
- a c++/cuda template library for tensor lazy evaluation☆163Updated 2 years ago
- Source code that accompanies The CUDA Handbook.☆548Updated last week
- A way to use cuda to accelerate top k algorithm☆30Updated 8 years ago
- Benchmark of TVM quantized model on CUDA☆111Updated 5 years ago
- ☆126Updated 7 years ago
- Caffe implementation of accurate low-precision neural networks☆118Updated 6 years ago
- CNNs in Halide☆23Updated 9 years ago
- easy convolution neural network☆168Updated 3 years ago
- pdf☆92Updated 7 years ago
- Caffe for Sparse Convolutional Neural Network☆237Updated 2 years ago
- ☆44Updated 7 years ago
- 使用SVD、K-Means、降低权值精度的方法压缩Cifar-10神经网络的全连接层☆23Updated 8 years ago
- Code for testing the native float16 matrix multiplication performance on Tesla P100 and V100 GPU based on cublasHgemm☆34Updated 6 years ago
- ☆266Updated 7 years ago
- Parallel GPU Implementation of Connected Component Labelling (CCL). Connected-component labeling is used in computer vision to detect con…☆52Updated 7 years ago