ILGPU is a JIT compiler designed for high-performance GPU programming in .NET languages. Fully implemented in C#, it combines the flexibility of C++ AMP with the performance of CUDA, allowing seamless execution and debugging. With built-in algorithms and a supportive community, ILGPU makes GPU programming accessible and efficient.
ILGPU is a powerful JIT (Just-In-Time) compiler designed to facilitate high-performance GPU programming for applications written in .Net-based languages. Crafted entirely in C# and free from any native dependencies, ILGPU combines the flexibility and convenience of C++ AMP with the exceptional performance of CUDA.
Key Features:
- No Annotations Required: Functions within kernel scopes can be utilized as regular C# functions without additional annotations, making development straightforward and intuitive.
- Kernel Debugging Support: All kernels can be executed and debugged on the CPU using ILGPU’s integrated multi-threaded CPU accelerator, making it easy to verify functionality before deploying on actual GPU hardware.
ILGPU Algorithms Library:
Every application requires reliable algorithms and utility functions to ensure seamless operations. The ILGPU Algorithms library provides a comprehensive collection of high-level algorithms such as sorting and prefix sums, easily runnable across all supported accelerators. The CPU accelerator support proves particularly beneficial for debugging kernels, allowing developers to test and iterate more rapidly.
Engage with the Community:
Join the vibrant ILGPU community on Discord for immediate support, feedback, and suggestions. Participate in weekly talk-to-dev meetings to raise questions, share ideas, or simply connect with contributors who are passionate about advancing GPU programming.
Sample Projects:
Get started with high-performance GPU programming using sample projects available in the repository. These samples showcase basic and advanced usage of ILGPU, serving as practical references for building your own GPU applications.
Additional Resources:
- ILGPU Homepage for in-depth insights and documentation.
- Access the latest ILGPU samples and documentation directly through the links provided.
- Explore the NuGet package for easy integration into your projects.
- For preview builds, configure your project using the following NuGet.config:
<?xml version="1.0" encoding="utf-8"?>
<configuration>
<packageSources>
<add key="ilgpu" value="https://f.feedz.io/ilgpu/preview/nuget/index.json" />
</packageSources>
</configuration>
ILGPU revolutionizes how developers can leverage GPU power in .Net, making it an essential tool for any performance-focused developer.