CUDA implementations of various Computer Vision Algorithms
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Updated
Mar 16, 2021 - Cuda
CUDA implementations of various Computer Vision Algorithms
A tutorial about how to install CUDA Toolkit and code with your GPU.
Modeling, inversion and migration focusing on seismic first arrivals
Lab exercise of Parallel Processing course in NTUA regarding CUDA programming
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.
This is a simple and easy-to-use Tensor Library.
2019 [Julia] GPU CUDAnative SVM: a stochastic decomposition implementation of support-vector machine training
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.
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.
K-Means algorithm parallelized in CUDA
Optimized Parallel Sum program demonstrating CPU vs GPU performance
CUDA-based parallel local search for the set-union knapsack problem
Several approaches to create and test n-degree latin squares.
Code from my Tutorial series on Hive about Nvidia's CUDA API
Contains Serial (recursive) and Parallel Version (openMPI and CUDA) of the Fast Fourier Transform algorithm.
Notes I created while learning CUDA Programming based on PMPP book
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