Labs and Assignments for the GPU computing course at IIITD
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Updated
Apr 26, 2021 - C
Labs and Assignments for the GPU computing course at IIITD
Convolutional operation using CPU vs CuDA
Parallel Kakuro Solver with both OpenMP and CUDA
A small diffusion code that compares gpu parallelized python and julia codes
Implementation and perfomance analisys of the conv2D algorithm in C++ and Cuda.
Codigo hecho en C/Cuda, tratamaos de procesar una imagen mediante una GPU de Nvidia. EL procesamiento de imagenes se trata de pasarles un filtro a la imagen proporcionada.
Marching Cubes implementation using CUDA and OpenGL
Simple and personal repository for documenting CUDA features and GPU parallel algorithms with code samples
Yet Another Scattering Framework python implementation
This repo contains the implementation of a template search algorithm in images compatible for GPU programming using CUDA. Solution of Assignment 4 of the course COL380- Introduction to Parallel and Distributed Programming.
Travail pratique programmation cuda
The X-ray Talbot Interferometry images calculator using CUDA.
The Word Frequency program with CUDA project aims to develop an advanced solution for efficiently analyzing the frequency of words in large datasets. The project will leverage NVIDIA's CUDA framework to harness the power of GPUs, surpassing the performance of traditional CPU-based implementations.
Repositório do trabalho prático no âmbito da UC de Computação Paralela (CP) - Mestrado em Engenharia Informática (MEI/MIEI) - Universidade do Minho (UMinho)
Contains a few basic examples to get started with CUDA parallel programming models.
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