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GPGPU

GPGPU

Great Reads

by tugrulGtx
Multi-device OpenCL load balancer and pipeliner for C# in few lines of code.
by Adnan Boz
In this blog post, I’m diving deeper into Thrust usage scenarios with a simple implementation of Monte Carlo Simulation.
by tugrulGtx
A small tool for writing various algorithms as if they were CUDA/OpenCL kernels
by manythreads
Curious about GPGPU programming? Read Rob Farber’s Massively Parallel Programming series. Learn how to get more from your CPU, GPU, APU, DSP, and more.

Latest Articles

by Excel-lent
This article shows how to compile and execute OpenCL code from VBA.
by tugrulGtx
A small tool for writing various algorithms as if they were CUDA/OpenCL kernels
by tugrulGtx
Multi-device OpenCL load balancer and pipeliner for C# in few lines of code.
by Ryan Scott White
an assembler/compiler for AMD’s GCN (Generation Core Next Architecture) Assembly Language

All Articles

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GPGPU 

16 May 2022 by Excel-lent
This article shows how to compile and execute OpenCL code from VBA.
25 Apr 2022 by tugrulGtx
A small tool for writing various algorithms as if they were CUDA/OpenCL kernels
5 Oct 2017 by tugrulGtx
Multi-device OpenCL load balancer and pipeliner for C# in few lines of code.
17 Apr 2016 by Ryan Scott White
an assembler/compiler for AMD’s GCN (Generation Core Next Architecture) Assembly Language
16 Sep 2013 by Nick Kopp
How to get 30x performance increase for queries by using your Graphics Processing Unit (GPU) instead of LINQ and PLINQ.
16 Sep 2013 by Nick Kopp
Performing base64 encoding on a graphics processing unit using CUDAfy.NET (CUDA in .NET).
22 Feb 2013 by Asif Bahrainwala
HPC via Compute Shaders (GPGPU).
3 Dec 2012 by Ilya Suzdalnitski
Image processing basics on the GPU using OpenCL.NET.
13 Oct 2012 by Alesiani Marco
A Wave PDE simulation using GPGPU capabilities
10 Jul 2012 by Kerem Kat
Process webcam images on the CPU and GPU with OpenCV, CUDA and C++ AMP
9 Mar 2012 by Adnan Boz
From spam filters to movie recommendation and face detection, nowadays machine learning algorithms are used everywhere to make the machine think for us. But, running these algorithms require high computation power and in most cases supercomputers. This is where the 500 core GPUs step in...
10 Jan 2011 by phoaivu
GPU Implementation of Extended Gaussian mixture model for Background Subtraction
17 Sep 2010 by manythreads
Curious about GPGPU programming? Read Rob Farber’s Massively Parallel Programming series. Learn how to get more from your CPU, GPU, APU, DSP, and more.
8 Jul 2010 by pnolte64
This article helps make OpenCL™ easier to understand and implement.