GEMM and Winograd based convolutions using CUTLASS
- Updated
Jul 15, 2020 - Cuda
GEMM and Winograd based convolutions using CUTLASS
Example of 2D convolution with NVIDIA cuDNN that enables Tensor Core acceleration
A simple idea of out-of-box convolution.
📐 Parallelization and implementation of the Sobel filter for edge detection in CUDA. 📏
This repository contains a framework with a GPU implementation of generalized convolution operators. The framework is designed for large image data sets and can run in a distributed system.
Implementation of Convolution function using CUDA.
GPU acceleration for efficient, high-quality audio processing.
This is a simple convolution implementation both for CPU_only and GPU_only (using CUDA)
Optimizing convolution operation by CUDA
GPU-Accelerated Convolutional Kernel Training for Vertical Edge Detection (HPC Project A.Y. 23/24 @uniparthenope).
Experiments with Image processing algorithms with CUDA
Optimisation de Lenia par détection de structures récurrentes
Machine problems
Evaluación Taller 4: CUDA
Upload of CUDA programs developed in my GPU Computing Course
Using CUDA to optimize the convolution operation convolution : (University of Trento, Italy)
Qt app for previewing Image convolution. Uses CUDA for convolution.
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