Parallel python

thingiverse

Python's Parallel module, Parallel Python, offers parallel execution of code on systems with multiple processors or cores and even clusters via network connections. This module, which internally uses processes and Inter-Process Communications (IPC), allows for easy creation of parallel applications without dealing with the complexity of parallel computations. Notably, programs written with pp can also run in parallel across computers connected via a local network or the internet. The software's cross-platform portability and dynamic load balancing make it efficient on heterogeneous and multi-platform clusters, even in grid computing and parallel processing scenarios. Perhaps 3D enthusiasts could collaborate to form a massive cluster. After downloading and following the instructions, I began slicing a model without Parallel Python, which will total 38,320,700 commands - a significant number that showcases the need for access to multiple cores in software. Kisslicer and Slic3r also support this feature locally, but parallel processing across crowds or clusters is possible with Parallel Python, opening up new possibilities for collaboration and efficiency.