ColfaxResearch / FALCONLinks
Library for fast image convolution in neural networks on Intel Architecture
☆30Updated 8 years ago
Alternatives and similar repositories for FALCON
Users that are interested in FALCON are comparing it to the libraries listed below
Sorting:
- Greentea LibDNN - a universal convolution implementation supporting CUDA and OpenCL☆137Updated 8 years ago
- Optimized half precision gemm assembly kernels (deprecated due to ROCm)☆47Updated 8 years ago
- tutorial to optimize GEMM performance on android☆51Updated 9 years ago
- CNNs in Halide☆23Updated 10 years ago
- CaffePresso: An Optimized Library for Deep Learning on Embedded Accelerator-based platforms☆87Updated last year
- CLTune: An automatic OpenCL & CUDA kernel tuner☆184Updated 3 years ago
- Kernel Fusion and Runtime Compilation Based on NNVM☆73Updated 9 years ago
- portDNN is a library implementing neural network algorithms written using SYCL☆113Updated last year
- Code appendix to an OpenCL matrix-multiplication tutorial☆178Updated 8 years ago
- Winograd-based convolution implementation in OpenCL☆28Updated 9 years ago
- flexible-gemm conv of deepcore☆17Updated 6 years ago
- Accelerating DNN Convolutional Layers with Micro-batches☆63Updated 5 years ago
- Optimizing Mobile Deep Learning on ARM GPU with TVM☆182Updated 7 years ago
- Test winograd convolution written in TVM for CUDA and AMDGPU☆41Updated 7 years ago
- implementation of winograd minimal convolution algorithm on Intel Architecture☆39Updated 8 years ago
- Intel® Optimization for Chainer*, a Chainer module providing numpy like API and DNN acceleration using MKL-DNN.☆174Updated 2 weeks ago
- ☆69Updated 3 years ago
- A GPU benchmark suite for assessing on-chip GPU memory bandwidth☆109Updated 8 years ago
- A CUDNN minimal deep learning training code sample using LeNet.☆269Updated 2 years ago
- Fast integer division with divisor not known at compile time. To be used primarily in CUDA kernels.☆73Updated 10 years ago
- High Efficiency Convolution Kernel for Maxwell GPU Architecture☆137Updated 8 years ago
- a heterogeneous multiGPU level-3 BLAS library☆46Updated 6 years ago
- ☆47Updated 5 years ago
- XLA integration of Open Neural Network Exchange (ONNX)☆19Updated 7 years ago
- Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)☆193Updated 6 years ago
- Caffe implementation of accurate low-precision neural networks☆119Updated 7 years ago
- Input-aware cuBLAS/clBLAS implementation for better performance☆17Updated 3 years ago
- A simple memory manager for CUDA designed to help Deep Learning frameworks manage memory☆299Updated 7 years ago
- Flexible GPGPU instrumentation☆89Updated 6 years ago
- Implementation of convolution layer in different flavors☆68Updated 8 years ago