Provides a comprehensive environment for C/C++ developers building GPU-accelerated applications.
GPU accelerate HPC applications with standard languages, OpenACC directives and CUDA Fortran.
Directives for parallel computing, the most popular GPU parallel programming model for researchers and technical programmers.
Gives you access to CUDA fuctionality from your Python code.
An advanced productivity tool that generates vectorized C++ (AVX) and CUDA C code from .NET assemblies (MSIL) or Java archives (bytecode)
OpenCL is a low-level API for GPU computing that can run on CUDA-powered GPUs.
This is a novel approach to develop GPU applications on .NET, combining the CUDA with Microsoft’s F#.