csehydrogen / Winograd-OpenCLLinks
Winograd-based convolution implementation in OpenCL
☆28Updated 8 years ago
Alternatives and similar repositories for Winograd-OpenCL
Users that are interested in Winograd-OpenCL are comparing it to the libraries listed below
Sorting:
- Fast CUDA Kernels for ResNet Inference.☆178Updated 6 years ago
- ☆26Updated 8 years ago
- ICML2017 MEC: Memory-efficient Convolution for Deep Neural Network C++实现(非官方)☆17Updated 6 years ago
- Subpart source code of of deepcore v0.7☆27Updated 5 years ago
- Automatic Schedule Exploration and Optimization Framework for Tensor Computations☆180Updated 3 years ago
- implementation of winograd minimal convolution algorithm on Intel Architecture☆39Updated 7 years ago
- GPU implementation of Winograd convolution☆10Updated 7 years ago
- Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)☆191Updated 6 years ago
- ☆45Updated 4 years ago
- tophub autotvm log collections☆69Updated 2 years ago
- Aiming at an AI Chip based on RISC-V and NVDLA.☆20Updated 7 years ago
- A GPU benchmark suite for assessing on-chip GPU memory bandwidth☆106Updated 8 years ago
- TVM stack: exploring the incredible explosion of deep-learning frameworks and how to bring them together☆64Updated 7 years ago
- Optimized half precision gemm assembly kernels (deprecated due to ROCm)☆47Updated 8 years ago
- MAFIA: Multiple Application Framework for GPU architectures☆27Updated 3 years ago
- ☆27Updated 5 years ago
- Explore the energy-efficient dataflow scheduling for neural networks.☆225Updated 5 years ago
- Dissecting NVIDIA GPU Architecture☆104Updated 3 years ago
- ☆31Updated 2 years ago
- Third party assembler and GEMM library for NVIDIA Kepler GPU☆82Updated 5 years ago
- Implement asm gemm on vega64 for 4096x4096 fp32 matrix☆22Updated 5 years ago
- A repository that compliments gpgpu-sim, providing automated regression scripts, simulation launching utilities and the code + arguments …☆75Updated 5 years ago
- ☆17Updated 5 years ago
- Modified version of PyTorch able to work with changes to GPGPU-Sim☆56Updated 2 years ago
- ☆39Updated 5 years ago
- A Winograd based kernel for convolutions in deep learning framework☆15Updated 8 years ago
- ☆40Updated 3 years ago
- Automatic Mapping Generation, Verification, and Exploration for ISA-based Spatial Accelerators☆115Updated 2 years ago
- ☆23Updated 3 years ago
- Flexible GPGPU instrumentation☆88Updated 5 years ago