Welcome to the H-SCALE repository! This project is dedicated to the development of the Heterogeneous Scalable Computer Architecture for Learning and Experimentation.
H-SCALE is designed to provide a flexible heterogenous architecture that supports a variety of computing tasks, particularly in the fields of machine learning and experimentation. The architecture integrates diverse processing units.
For detailed information on the H-SCALE architecture, components, and usage guidelines, please refer to the official documentation:
To get started with the H-SCALE project, clone this repository and navigate to the relevant directory:
git clone https://github.com/OpenCEHardware/H-SCALE
cd H-SCALEFollow the instructions in the official documentation to configure and utilize the architecture effectively.
We welcome contributions from the community! If you have suggestions or improvements, please open an issue or submit a pull request.
This project is licensed under the GPL-3.0 License.