PasaLab / dolphinLinks
Dolphin - a Deep Learning on MIC architecture Project.
☆25Updated 11 years ago
Alternatives and similar repositories for dolphin
Users that are interested in dolphin are comparing it to the libraries listed below
Sorting:
- Test winograd convolution written in TVM for CUDA and AMDGPU☆41Updated 7 years ago
- Training deep neural networks with low precision multiplications☆64Updated 10 years ago
- High Efficiency Convolution Kernel for Maxwell GPU Architecture☆137Updated 8 years ago
- Proof-of-Concept CNN in Halide☆22Updated 9 years ago
- Demos interesting image-in, image-out networks running on both NVIDIA and AMD GPUs, with NNVM☆49Updated 8 years ago
- CNN accelerated by cuda. Test on mnist and finilly get 99.76%☆187Updated 8 years ago
- a heterogeneous multiGPU level-3 BLAS library☆46Updated 6 years ago
- MXNet Model Serving☆25Updated 8 years ago
- GPU-specialized parameter server for GPU machine learning.☆102Updated 7 years ago
- A CUDA implementation of the k-means clustering algorithm☆255Updated 13 years ago
- tutorial to optimize GEMM performance on android☆51Updated 9 years ago
- Optimized half precision gemm assembly kernels (deprecated due to ROCm)☆47Updated 8 years ago
- Python wrappers for the NVIDIA cuDNN libraries☆142Updated 8 years ago
- (Spring 2017) Assignment 2: GPU Executor☆63Updated 8 years ago
- Convolutional neural networks C++ framework with CPU and GPU (CUDA) backends☆182Updated 7 years ago
- Kernel Fusion and Runtime Compilation Based on NNVM☆73Updated 9 years ago
- RDMA Optimization on MXNet☆14Updated 8 years ago
- My fork of Alex Krizhevsky's cuda-convnet from 2013 where I added dropout, among other features.☆259Updated 11 years ago
- Matrix Shadow:Lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for (Deep) Machine Learning☆33Updated 9 years ago
- A simple memory manager for CUDA designed to help Deep Learning frameworks manage memory☆300Updated 7 years ago
- Boda: A C++ Framework for Efficient Experiments in Computer Vision☆64Updated 6 years ago
- Tools to convert Caffe models to neon's serialization format☆39Updated 3 years ago
- Example codes appears in lectures☆23Updated 4 years ago
- Base code and optimized code for the benchmarks used in the PolyMage paper published at ASPLOS 2015☆20Updated 9 years ago
- CUDA Matrix Factorization Library with Stochastic Gradient Descent (SGD)☆71Updated 8 years ago
- Greentea LibDNN - a universal convolution implementation supporting CUDA and OpenCL☆137Updated 8 years ago
- ☆35Updated 9 years ago
- MPI Parallel framework for training deep learning models built in Theano☆54Updated 8 years ago
- A fast deep neural network library (CPU) for speech recognition☆86Updated 6 years ago
- Sublinear memory optimization for deep learning, reduce GPU memory cost to train deeper nets☆28Updated 9 years ago