Fast CUDA Kernels for ResNet Inference.
☆182May 26, 2019Updated 6 years ago
Alternatives and similar repositories for CUDA-Winograd
Users that are interested in CUDA-Winograd are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- GPU implementation of Winograd convolution☆10Oct 23, 2017Updated 8 years ago
- Winograd minimal convolution algorithm generator for convolutional neural networks.☆627Feb 9, 2026Updated last month
- A Winograd Minimal Filter Implementation in CUDA☆28Aug 25, 2021Updated 4 years ago
- Winograd-based convolution implementation in OpenCL☆28Jan 22, 2017Updated 9 years ago
- Accelerating CNN's convolution operation on GPUs by using memory-efficient data access patterns.☆14Dec 8, 2017Updated 8 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)☆193May 7, 2019Updated 6 years ago
- Test winograd convolution written in TVM for CUDA and AMDGPU☆41Oct 12, 2018Updated 7 years ago
- ICML2017 MEC: Memory-efficient Convolution for Deep Neural Network C++实现(非官方)☆17Apr 9, 2019Updated 6 years ago
- ☆18Oct 15, 2020Updated 5 years ago
- ☆26Dec 1, 2016Updated 9 years ago
- Subpart source code of of deepcore v0.7☆27Jun 28, 2020Updated 5 years ago
- image to column☆30Jul 15, 2014Updated 11 years ago
- Automatic Schedule Exploration and Optimization Framework for Tensor Computations☆183Apr 25, 2022Updated 3 years ago
- CUDA project for uni subject☆26Oct 26, 2020Updated 5 years ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆14May 28, 2019Updated 6 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…☆12Mar 22, 2018Updated 8 years ago
- Assembler for NVIDIA Volta and Turing GPUs☆239Jan 13, 2022Updated 4 years ago
- ☆13May 8, 2020Updated 5 years ago
- ☆40Feb 28, 2020Updated 6 years ago
- ☆50Jun 27, 2019Updated 6 years ago
- implementation of winograd minimal convolution algorithm on Intel Architecture☆39Dec 4, 2017Updated 8 years ago
- ☆48Dec 11, 2020Updated 5 years ago
- A Fast Muti-processing BERT-Inference System☆102Oct 20, 2022Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting with the flexibility to host WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Cloudways by DigitalOcean.
- An unofficial cuda assembler, for all generations of SASS, hopefully :)☆576Apr 20, 2023Updated 2 years ago
- PET: Optimizing Tensor Programs with Partially Equivalent Transformations and Automated Corrections☆125Jun 23, 2022Updated 3 years ago
- Benchmark of TVM quantized model on CUDA☆112Jun 19, 2020Updated 5 years ago
- Scalable radix top-k selection on GPUs.☆21Jan 27, 2025Updated last year
- Transparent Cudnn / Cublas / Eigen usage for the deep learning training using MNIST dataset.☆18Sep 3, 2020Updated 5 years ago
- CNNs in Halide☆23Oct 22, 2015Updated 10 years ago
- GEMM and Winograd based convolutions using CUTLASS☆28Jul 15, 2020Updated 5 years ago
- TiledKernel is a code generation library based on macro kernels and memory hierarchy graph data structure.☆19May 12, 2024Updated last year
- Matrix Multiply-Accumulate with CUDA and WMMA( Tensor Core)☆144Aug 18, 2020Updated 5 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- SparseTIR: Sparse Tensor Compiler for Deep Learning☆144Mar 31, 2023Updated 2 years ago
- examples for tvm schedule API☆101Jun 12, 2023Updated 2 years ago
- A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.☆1,004Sep 19, 2024Updated last year
- ☆27Oct 25, 2021Updated 4 years ago
- Automatic Mapping Generation, Verification, and Exploration for ISA-based Spatial Accelerators☆122Oct 26, 2022Updated 3 years ago
- ☆32Aug 24, 2022Updated 3 years ago
- A library of GPU kernels for sparse matrix operations.☆285Nov 24, 2020Updated 5 years ago