Pyccel's main goal is to resolve the principal bottleneck in scientific computing: the transition from prototype to production. Programmers usually develop their prototype code in a user-friendly interactive language like Python, but their final application requires an HPC implementation and therefore a new production code. In most cases this is written in a statically compiled language like Fortran/C/C++, and it uses SIMD vectorization, parallel multi-threading, MPI parallelization, GPU offloading, etc.
Pyccel's main goal is to resolve the principal bottleneck in scientific computing: the transition from prototype to production. Programmers usually develop their prototype code in a user-friendly interactive language like Python, but their final application requires an HPC implementation and therefore a new production code. In most cases this is written in a statically compiled language like Fortran/C/C++, and it uses SIMD vectorization, parallel multi-threading, MPI parallelization, GPU offloading, etc.
Sounds interesting!