About Phylanx

Phylanx is a distributed Machine Learning platform that aims to provide users a high level, Python interface which delivers HPC performance. At its core Phylanx is a general purpose system for computing large distributed arrays often used on applied statistics problems. Phylanx builds upon other solutions such as Spartan, Theano, and Tensorflow in an effort to generalize array operations specifically to support distributed computing. The system will decompose array computations into a predefined set of parallel operations and employ algorithms which optimize execution and data layout from of a user provided expression graph. Using hints from the user as well as application logic an expression graph is created which is then passed to HPX, a distributed C++ runtime system used to schedule and execute the work on commodity systems.

Phylanx improves upon previous solutions by adding more sophisticated algorithms to optimize data layout, distribution, and tiling on HPC systems, and by using cache-oblivious data layouts to improve the overall performance and scalability of the provided expression evaluations.