Click here to Skip to main content
15,891,529 members
Everything / OpenCL

OpenCL

OpenCL

Great Reads

by Nick Kopp
This article builds upon the earlier High Performance Queries: GPU vs. PLINQ vs. LINQ and ports this to also support OpenCL devices and adds benchmarking so you can easily compare performance.
by tugrulGtx
Multi-device OpenCL load balancer and pipeliner for C# in few lines of code.
by John Michael Hauck
It has never been easier for C# desktop developers to write code that takes advantage of the amazing computing performance of modern graphics cards. In this post I will share some techniques for solving a simple (but still interesting) image analysis problem. Source Code https://www.assembla.com/co
by Matt Scarpino
Using GPU Acceleration to Compute Ray-Triangle Intersection

Latest Articles

by aroman
In this post I explore Lattice Boltzmann methods and build a related project
by tugrulGtx
Header-only C++ tool that supports basic array-like usage pattern and uses multiple graphics cards in system as storage with LRU caching
by tugrulGtx
Accessing VRAM-cached nucleotide sequences in FASTA formatted files (*.fna, *.faa) by index
by Arthur V. Ratz
In this article I will thoroughly discuss about the several aspects of using the revolutionary new Intel® oneAPI HPC Toolkit to deliver a modern code that implements a parallel “stable” sort

All Articles

Sort by Title

OpenCL 

30 Aug 2017 by morzel
Detecting a Drone - OpenCV in .NET for Beginners (Emgu CV 3.2, Visual Studio 2017). Part 1
8 Aug 2011 by Adnan Boz
An entry level example of how to use NVIDIA CUDA technology to achieve better performance within C# with minimum possible amount of code
2 Aug 2014 by Bartlomiej Filipek
How to start optimizing the particle system code.
14 Apr 2014 by Bartlomiej Filipek
Flexible Particle System - Start
22 May 2013 by John Michael Hauck
Some ad hoc performance test results for a simple program written in C# as obtained from my current desktop computer: Dell Precision T3600, 16GB RAM, Intel Xeon E5-2665 0 @ 2.40GHz, NVidia GTX Titan.
22 Nov 2015 by John Michael Hauck
It has never been easier for C# desktop developers to write code that takes advantage of the amazing computing performance of modern graphics cards.
21 Jul 2021 by aroman
In this post I explore Lattice Boltzmann methods and build a related project
23 Dec 2013 by Jake Drew
ABSTRACT This article comprises a detailed overview of the various multicore and parallel programming options available within the C# programming language.
18 May 2013 by John Michael Hauck
“Programming Massively Parallel Processors (second edition)” by Kirk and Hwu is a very good second book for those interested in getting started with CUDA.
26 Jun 2015 by Member 11794279
When processor is not enough