Algorithms implemented in CUDA + resources about GPGPU

CUDA Guide

A GP-GPU/CPU Dynamic Time Warping (DTW) implementation for the analysis of Multivariate Time Series (MTS).

MIT-licensed stand-alone CUDA utility functions.

A Rubygem for array-based scientific computations using GPGPU

Record GPU memory accesses of a CUDA program and visualize the access pattern in a browser

A reference implementation of RLE in CUDA

Efficient implementations of Merge Sort and Bitonic Sort algorithms using CUDA for GPU parallel processing, resulting in accelerated sorting of large arrays. Includes both CPU and GPU versions, along with a performance comparison.

👾 𝗖𝗨𝗗𝗔 𝗲𝘅𝗮𝗺𝗽𝗹𝗲𝘀 𝗳𝗼𝗿 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗣𝗿𝗼𝗯𝗹𝗲𝗺𝘀

This is a series of CUDA C++ programming samples developed to study CUDA technology and its parallel programming model.

Modelling parallel processing with GPU

This project is a part of my thesis focusing on researching and applying the general-purpose graphics processing unit (GPGPU) in high performance computing. In this project, I applied GPU Computing and the parallel programming model CUDA to solve the diffusion equation.

Physarum polycephalum growth simulator on polyhedron surfaces written in NVidia CUDA C++

particle swarm optimization with CUDA

A project to Accelerate Network Visualisation with a GPU using force directed placement

Been written as bachelor thesis to measure speed differences between SHA-3 on both an Nvidia and AMD GPU

Rendering the mandelbulb fractal with cuda.

A simple library-less CUDA implementation of the OneSweep sorting algorithm.

Scan images and process them in parallel. Has Sobel and Gauss blur filter in parallel included.

Working through the chapters of Cuda by Example