Petuum originated from, and is built on, years of ground-breaking research and development in machine learning and distributed computing at Carnegie Mellon University.

Major Petuum innovations include the parameter server architecture and theory, the stale-synchronous parallel bridging model, elastic resource scheduling technology, and managed network communication technology in high-performance distributed systems for ML and DL - as well as new ML and DL models and algorithms for actionable, human-level understanding and learning from images, videos and natural language.

Publications

OVERVIEW


SYSTEMS



THEORY


APPLICATIONS



Presentations