Support both HIP and CUDA® with ease
The Orochi library loads HIP and CUDA® APIs dynamically, allowing you to switch between them at runtime. Orochi is named after a legendary Japanese dragon with eight heads and eight tails on a single body. In keeping with its namesake, Orochi enables a single library to use multiple backends at runtime.
Download the latest version - v1.00
This September 2022 release adds the following features:
- Bitcode linking support
- Added OrochiUtils. A wrapper for convenience
- A workaround for 22.7.1 AMD driver regression (missing RTC)
- Support more HIP and CUDA APIs
- Use only from CUDA driver apis (except for RTC)
- Proper error handling
- Unit test
- Bug fixes
Orochi is a library that loads HIP and CUDA driver APIs dynamically at runtime, eliminating the overhead of maintaining separate backends.
Features
- No need to compile two separate implementations for HIP and CUDA.
- Compile and maintain a single binary that can run on both AMD and NVIDIA® GPUs.
- Dynamically load the corresponding HIP/CUDA shared libraries depending on your platform.
- Combines the functionality offered by both HIPEW and CUEW into a single library.
- No need to link to CUDA (for the driver APIs) nor HIP (for both driver and runtime APIs) at build-time.
- No need to install HIP SDK on your machine, or CUDA SDK in case you're not using the runtime APIs.
Requirements
To run an application compiled with Orochi, you need to install a driver of your choice with the corresponding .dll/.so files based on the GPU(s) available. Orochi will automatically link with the corresponding shared library at runtime.
Version history
- Initial release
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