Hybridizer is a compiler from Altimesh that lets you program GPUs and other accelerators from C# code or .NET Assembly. Using decorated symbols to express parallelism, Hybridizer generates source code or binaries optimized for multicore CPUs and GPUs. In this blog post we illustrate the CUDA target.
Using parallelization patterns such as Parallel.For, or by distributing parallel work explicitly as you would in CUDA, you can benefit from the compute horsepower of accelerators without learning all the details of their internal architecture. Here is a simple example using Parallel.For with a lambda.
You can debug and profile this code on the GPU using NVIDIA Nsight Visual Studio Edition. Hybridizer implements advanced C# features including virtual functions and generics.
A new NVIDIA Developer Blog post by Altimesh, the creators of Hybridizer, demonstrates how you can accelerate your C# and .NET code and profile and debug it all within Visual Studio.
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AI-Generated Summary
- CUDA code can be generated from C# using Hybridizer, a compiler from Altimesh that expresses parallelism through decorated symbols.
- Developers can apply familiar patterns such as Parallel.For with lambdas to target GPUs without mastering low-level accelerator architecture details.
- Advanced C# features including virtual functions and generics are supported, and the resulting GPU code can be debugged and profiled with NVIDIA Nsight Visual Studio Edition.
Next Step
- Read the NVIDIA Developer Blog post by Altimesh for a full demonstration of accelerating C# and .NET code within Visual Studio.
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