Parallel Python provides mechanism for parallel execution of python code on SMP (systems with multiple processors or cores) and clusters (computers connected via network)
Parallel Python (PP) is a Python module which provides mechanism for parallel execution of python code on SMP (systems with multiple processors or cores) and clusters (computers connected via network).
PP module overcomes the limitations imposed by the GIL (Global Interpreter Lock) on multithreading and provides a simple way to write parallelPpython applications. Internally ppsmp uses processes and IPC (Inter Process Communications) to organize parallel computations.
All the details and complexity of the latter are completely taken care of, and your application just submits jobs and retrieves their results (the easiest way to write parallel applications).
The software written with PP works in parallel even on many computers connected via local network or Internet (clusters). Cross-platform portability and dynamic load-balancing allows PP to parallelize computations efficiently even on heterogeneous and multi-platform clusters.
