There is a need to bring GPU programming to a new level. Read more here.
A high level description of the Alea.cuBase framework and the development process can be found here.
Alea.cuBase can also be obtained as a NuGet package at https://nuget.org/packages/Alea.cuBase/. Alternatively you can use the VisualStudio NuGet package manager to search for Alea.cuBase or CUDA.
A detailed description of Alea.cuBase can be found in the user manual. The user manual, API reference and the examples are available separately for each release.
A tutorial and a collection of examples can be obtained from the public GitHub repository https://github.com/quantalea/Alea.cuSamples.
A growing set of GPU algorithms and useful components can be found in the public GitHub repository https://github.com/quantalea/Alea.cuExtension. Please feel free to submit your favorite algorithms as well.
Additional explanations and use cases can be found on our blog http://blog.quantalea.net.