Archimedes – A Python toolkit for hardware engineering
7 days ago
- #Control Systems
- #Python
- #Hardware Engineering
- Archimedes is a Python framework designed for hardware engineering, specifically for control systems development.
- It aims to be the 'PyTorch for hardware' by enabling Python development with C code deployment capabilities.
- The toolkit allows for the development and analysis of algorithms in NumPy and automatically generates optimized C code for embedded systems.
- Archimedes addresses the gap between high-level Python development and low-level hardware deployment, offering a solution that avoids manual translation to C or vendor-locked ecosystems.
- Key features include Python to C code generation, compilation for performance speedups, simulation and optimization tools, and automatic differentiation.
- The framework supports structured data types, enabling hierarchical system modeling that mirrors physical system decompositions.
- Archimedes is built on CasADi, leveraging its capabilities for nonlinear optimization and algorithmic differentiation.
- The project is currently in public beta, with plans for future enhancements in hybrid simulations, hardware deployment, physics modeling, and algorithm development.
- Users are encouraged to try Archimedes, provide feedback, and contribute to its development through GitHub discussions and issue reporting.