3-D Random Walks -- Split complex Python functions across your CPUs with Tensorscout Campfire
The first section of this video shows the development of a 3-D random walk algorithm. The second, the application of Tensorscout to perform multiple 3-D random walks in parallel with 4 CPUs.
Tensorscout is a Python package powered by pathos to allow users to distribute operations over multiple CPU cores or vCPUs (with cloud computing), significantly reducing the time required for computation. Campfire is a powerful decorator from Tensorscout which operates on the basis of generating a Python dictionary as output for each simulation that is run. These dictionaries contain the results of each simulation and are split across multiple CPU cores for processing.
Relevant Links:
https://tensorscout.readthedocs.io/en...
https://voxelmap.readthedocs.io/en/la...
