LPython: Novel, Fast, Retargetable Python Compiler (2023)
a year ago
- #Python
- #Performance
- #Compiler
- LPython is a Python compiler that converts type-annotated Python code into optimized machine code.
- It supports multiple backends including LLVM, C, C++, WASM, Julia, and x86.
- Features include Ahead-of-Time (AoT) compilation, Just-In-Time (JIT) compilation, and interoperability with CPython.
- LPython uses Abstract Semantic Representation (ASR) for intermediate optimizations, shared with LFortran.
- Benchmarks show LPython's competitive performance against Numba and C++ in various tasks.
- Supports machine-independent optimizations like loop unrolling, vectorization, and dead code removal.
- JIT compilation in LPython is achieved using decorators, with backend-specific optimization flags.
- Interoperability with CPython allows calling functions from libraries like NumPy and Matplotlib.
- AoT compilation examples demonstrate LPython's speed in generating binary outputs.
- Visualization examples include generating Mandelbrot sets using Matplotlib via LPython.