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GPU Programming articles

GPU Programming includes frameworks and languages such as OpenCL that allow developers to write programs that execute across different platforms. It can provide programs with the ability to access the GPU on a graphics card for non-graphics applications.

Great Reads

by Chris Boss
With mobile computing taking hold, programmers are looking for ways to produce smaller and faster applications. Soon with the so called “Internet of Things” concept bringing possibly even smaller mobile devices into all areas of life, the need for smaller and faster software capable of r
by Ryan S White
CudaPAD is a PTX/SASS viewer for NVIDIA Cuda kernels and provides an on-the-fly view of your Cuda code.
by Debdatta Basu
Examine the various approaches to implementing radix sort on the GPU.
by Alesiani Marco
A Wave PDE simulation using GPGPU capabilities

Latest Articles

by John Michael Hauck
Introduction 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.a
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 ad hoc performance test results for a simple program written in C# as obtained from my current desktop computer, a Dell
by Ryan S White
an assembler/compiler for AMD’s GCN (Generation Core Next Architecture) Assembly Language
by Ryan S White
CudaPAD is a PTX/SASS viewer for NVIDIA Cuda kernels and provides an on-the-fly view of your Cuda code.

Discussions

by Afzaal Ahmad Zeeshan on technical blog "GPU Performance Tests"
by Member 12034166 on Article "Install Cuda and Use Managed Code...
by Ryan S White on article "GCN Assembler for AMD GPUs"
by Afzaal Ahmad Zeeshan on article "GCN Assembler for AMD GPUs"
by Ryan S White on article "CudaPAD"

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