TidePowerd has released Version 2 of their GPU computing solution for the .NET framework, GPU.NET. Their platform allows developers to quickly and easily write GPU-accelerated applications completely in .NET-based languages. Some key benefits include:
- Stay in C# and treat kernel methods like any regular method
- “Boilerplate” GPU programming tasks such as memory transfer and GPU scheduling are abstracted from the developer
- Cross-platform and cross-hardware with a single binary
- Systems seamlessly adapt to new hardware without rewriting code
- Speed on par with native code
New version 2 features:
- Visual Studio Error list and IntelliSense integration
- On-device random number generation
- Double precision support
A free 30-days evaluation license is available, as well as in-depth examples and tutorials.
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