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GPU Programming

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 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 Chris Boss
With mobile computing taking hold, programmers are looking for ways to produce smaller and faster applications.
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 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 Dino Konstantopoulos
Running Theano with an Nvidia 1070 GPU on Windows 10, with CUDA 8 and Visual Studio 2015
by Ryan S White
an assembler/compiler for AMD’s GCN (Generation Core Next Architecture) Assembly Language
by Cake Processor
Finding lexicographical permutations on GPU

Discussions

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by D. Infuehr on Article "Introductory Tutorial to OpenCL™"
by NerdyBaldGuy07 on article "Theano Machine Learning on a GPU on...
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