TaoHuUMD / Winograd_Convolution
A Winograd based kernel for convolutions in deep learning framework
☆15Updated 7 years ago
Alternatives and similar repositories for Winograd_Convolution:
Users that are interested in Winograd_Convolution are comparing it to the libraries listed below
- Aiming at an AI Chip based on RISC-V and NVDLA.☆20Updated 6 years ago
- ☆26Updated 8 years ago
- ☆30Updated last year
- ☆42Updated 5 years ago
- OpenCL Labs for PAPAA Summer School 2016 Edition☆46Updated 7 years ago
- Winograd-based convolution implementation in OpenCL☆28Updated 8 years ago
- Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)☆190Updated 5 years ago
- ICML2017 MEC: Memory-efficient Convolution for Deep Neural Network C++实现(非官方)☆17Updated 5 years ago
- implementation of winograd minimal convolution algorithm on Intel Architecture☆39Updated 7 years ago
- GPU implementation of Winograd convolution☆10Updated 7 years ago
- Subpart source code of of deepcore v0.7☆27Updated 4 years ago
- ☆21Updated 6 years ago
- TVM for chips base on Xuantie CPU, an open deep learning compiler stack.☆30Updated 7 months ago
- Course Webpage for CS 217 Hardware Accelerators for Machine Learning, Stanford University☆96Updated last year
- ☆53Updated 5 years ago
- My name is Fang Biao. I'm currently pursuing my Master degree with the college of Computer Science and Engineering, Si Chuan University, …☆43Updated 2 years ago
- ☆35Updated 5 years ago
- FireSim-NVDLA: NVIDIA Deep Learning Accelerator (NVDLA) Integrated with RISC-V Rocket Chip SoC Running on the Amazon FPGA Cloud☆161Updated 3 years ago
- DAC System Design Contest 2020☆29Updated 4 years ago
- tophub autotvm log collections☆70Updated 2 years ago
- ☆39Updated 7 years ago
- 记录阅读各类paper的想法笔记(关注体系结构,机器学习系统,深度学习,计算机视觉)☆24Updated 5 years ago
- Optimizing Mobile Deep Learning on ARM GPU with TVM☆180Updated 6 years ago
- The 1st place winner's source codes for DAC 2018 System Design Contest, FPGA Track☆89Updated 6 years ago
- This is an open CNN accelerator for everyone to use☆14Updated 5 years ago
- Caffe to VHDL☆66Updated 4 years ago
- ☆119Updated 7 years ago
- TQT's pytorch implementation.☆21Updated 3 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
- ☆14Updated 5 years ago