chasingegg / Winconv
implementation of winograd minimal convolution algorithm on Intel Architecture
☆39Updated 7 years ago
Alternatives and similar repositories for Winconv:
Users that are interested in Winconv are comparing it to the libraries listed below
- ☆26Updated 8 years ago
- ICML2017 MEC: Memory-efficient Convolution for Deep Neural Network C++实现(非官方)☆17Updated 5 years ago
- Implementation of convolution layer in different flavors☆68Updated 7 years ago
- Fast CUDA Kernels for ResNet Inference.☆171Updated 5 years ago
- I'm going to use the Winograd’s minimal filtering algorithms to introduce a new class of fast algorithms for convolutional neural networks…☆12Updated 6 years ago
- Winograd-based convolution implementation in OpenCL☆28Updated 8 years ago
- Subpart source code of of deepcore v0.7☆27Updated 4 years ago
- GPU implementation of Winograd convolution☆10Updated 7 years ago
- A Winograd based kernel for convolutions in deep learning framework☆15Updated 7 years ago
- Official implementation of "Searching for Winograd-aware Quantized Networks" (MLSys'20)☆27Updated last year
- Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)☆190Updated 5 years ago
- CNNs in Halide☆23Updated 9 years ago
- Benchmark for matrix multiplications between dense and block sparse (BSR) matrix in TVM, blocksparse (Gray et al.) and cuSparse.☆24Updated 4 years ago
- ☆39Updated 4 years ago
- tophub autotvm log collections☆70Updated 2 years ago
- Aiming at an AI Chip based on RISC-V and NVDLA.☆20Updated 6 years ago
- Accelerating CNN's convolution operation on GPUs by using memory-efficient data access patterns.☆14Updated 7 years ago
- TVM stack: exploring the incredible explosion of deep-learning frameworks and how to bring them together☆64Updated 6 years ago
- Benchmark PyTorch Custom Operators☆13Updated last year
- Benchmark scripts for TVM☆73Updated 2 years ago
- flexible-gemm conv of deepcore☆17Updated 5 years ago
- ☆36Updated 2 years ago
- TQT's pytorch implementation.☆21Updated 3 years ago
- ☆14Updated 5 years ago
- Implementing CNN code in CUDA and OpenCL to evaluate its performance on NVIDIA GPUs, AMD GPUs, and an FPGA platform.☆54Updated 7 years ago
- Automatic Schedule Exploration and Optimization Framework for Tensor Computations☆176Updated 2 years ago
- ☆15Updated 3 years ago
- ☆42Updated 4 years ago
- Benchmark of TVM quantized model on CUDA☆111Updated 4 years ago
- BlockCIrculantRNN (LSTM and GRU) using TensorFlow☆14Updated 6 years ago