Conway's genetic laws computed in parallel with OpenMP and OpenCL. With benchmarks for OpenMP, OpenCL (CPU & GPU) as well as sequential execution.
-
Updated
Jun 21, 2015 - C++
Conway's genetic laws computed in parallel with OpenMP and OpenCL. With benchmarks for OpenMP, OpenCL (CPU & GPU) as well as sequential execution.
Assignment Solutions to course ME766 High Performance Scientific Computing.
A library for writing and executing OpenCL kernels directly in Python
Simple real-time raytracing demo running as a fragment shader on the computer's graphics card.
How to Configure a GPU Cluster Running Ubuntu Linux
Matrix Library for JavaScript
Heterogeneous Parallel Programming Class - CUDA C (Coursera)
Proof of concept that allows .NET developers to execute code in the GPU using C++ AMP by decorating their C# code with attributes.
A backpropagation neural network implemented in CUDA
OpenCL heatmap tile generator (a semi-successful attempt at learning OpenCL)
HPC introductory course 02614 @ DTU.dk
Implementation of a Gibbs-Metropolis sampling algorithm in CUDA
Just a bunch of methods and scripts to test performances within containers
In this project, we calculate the disparity map of two rectified images which imitate two eyes. In this project, SAD and DP algorithms (simplified) are implemented. PyCUDA codes are typically included.
A tile coder in theano for Reinforcement Learning tasks
Bitonic sort algorithm multigpu and gpu in CUDA
Example programs written in Obsidian
Run Obsidian programs on a GPU from Haskell code.
Add a description, image, and links to the gpu-computing topic page so that developers can more easily learn about it.
To associate your repository with the gpu-computing topic, visit your repo's landing page and select "manage topics."