Accelerate .NET Applications with Alea GPU

Today software companies use frameworks such as .NET to target multiple platforms from desktops to mobile phones with a single code base to reduce costs by leveraging existing libraries and to cope with changing trends. While developers can easily write scalable parallel code for multi-core CPUs on .NET with libraries such as the task parallel library, they face a bigger challenge using GPUs to tackle compute intensive tasks. To accelerate .NET applications with GPUs, developers must write functions in CUDA C/C++ and write or generate code to interoperate between .NET and CUDA C/C++.

Alea GPU closes this gap by bringing GPU computing directly into the .NET ecosystem. With Alea GPU you can write GPU functions in any .NET language you like, compile with your standard .NET build tool and accelerate it with a GPU. Alea GPU offers a full implementation of all CUDA features, and code compiled with Alea GPU performs as well as equivalent CUDA C/C++ code.

Read more on the NVIDIA Parallel for All blog

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