Fast CUDA Kernels for ResNet Inference.
☆183May 26, 2019Updated 7 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:
- Winograd minimal convolution algorithm generator for convolutional neural networks.☆629Feb 9, 2026Updated 8 months ago
- A Winograd Minimal Filter Implementation in CUDA☆31Aug 25, 2021Updated 5 years ago
- Winograd-based convolution implementation in OpenCL☆29Jan 22, 2017Updated 9 years ago
- Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)☆191May 7, 2019Updated 7 years ago
- ☆18Oct 15, 2020Updated 6 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.
- ☆24Dec 1, 2016Updated 9 years ago
- ☆14May 28, 2019Updated 7 years ago
- Automatic Schedule Exploration and Optimization Framework for Tensor Computations☆184Apr 25, 2022Updated 4 years ago
- CUDA project for uni subject☆26Oct 26, 2020Updated 5 years ago
- ☆13May 8, 2020Updated 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
- ☆40Feb 28, 2020Updated 6 years ago
- Assembler for NVIDIA Volta and Turing GPUs☆249Jan 13, 2022Updated 4 years ago
- ☆50Jun 27, 2019Updated 7 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- implementation of winograd minimal convolution algorithm on Intel Architecture☆40Dec 4, 2017Updated 8 years ago
- ☆49Dec 11, 2020Updated 5 years ago
- Transparent Cudnn / Cublas / Eigen usage for the deep learning training using MNIST dataset.☆18Sep 3, 2020Updated 6 years ago
- image to column☆30Jul 15, 2014Updated 12 years ago
- An unofficial cuda assembler, for all generations of SASS, hopefully ：）☆633Apr 20, 2023Updated 3 years ago
- PET: Optimizing Tensor Programs with Partially Equivalent Transformations and Automated Corrections☆126Jun 23, 2022Updated 4 years ago
- Benchmark of TVM quantized model on CUDA☆112Jun 19, 2020Updated 6 years ago
- GEMM and Winograd based convolutions using CUTLASS☆29Jul 15, 2020Updated 6 years ago
- CNNs in Halide☆22Oct 22, 2015Updated 10 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.
- TiledKernel is a code generation library based on macro kernels and memory hierarchy graph data structure.☆19May 12, 2024Updated 2 years ago
- Matrix Multiply-Accumulate with CUDA and WMMA( Tensor Core)☆150Aug 18, 2020Updated 6 years ago
- examples for tvm schedule API☆101Jun 12, 2023Updated 3 years ago
- ☆28Oct 25, 2021Updated 4 years ago
- A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.☆1,005Sep 19, 2024Updated 2 years ago
- ☆41Mar 31, 2022Updated 4 years ago
- SparseTIR: Sparse Tensor Compiler for Deep Learning☆145Mar 31, 2023Updated 3 years ago
- A library of GPU kernels for sparse matrix operations.☆289Nov 24, 2020Updated 5 years ago
- DAC System Design Contest 2020☆30Jun 11, 2020Updated 6 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- High performance Cross-platform Inference-engine, you could run Anakin on x86-cpu,arm, nv-gpu, amd-gpu,bitmain and cambricon devices.☆537Sep 23, 2022Updated 4 years ago
- ☆32Aug 24, 2022Updated 4 years ago
- Code released to accompany the ISCA paper: "T4: Compiling Sequential Code for Effective Speculative Parallelization in Hardware"☆29Feb 18, 2022Updated 4 years ago
- Official implementation of "Searching for Winograd-aware Quantized Networks" (MLSys'20)☆27Oct 3, 2023Updated 3 years ago
- ☆11Sep 14, 2020Updated 6 years ago
- Implement asm gemm on vega64 for 4096x4096 fp32 matrix☆22Oct 12, 2019Updated 7 years ago
- Optimizing SGEMM kernel functions on NVIDIA GPUs to a close-to-cuBLAS performance.☆429Jan 2, 2025Updated last year