Mar 15–18, 2020
Philipp Moritz

Philipp Moritz
UC Berkeley, University of California, Berkeley


Philipp Moritz is a PhD candidate in the Electrical Engineering and Computer Sciences (EECS) Department at the University of California, Berkeley, with broad interests in artificial intelligence, machine learning, and distributed systems. He’s a member of the Statistical AI Lab and the RISELab.


1:30pm5:00pm Monday, March 16, 2020
Location: LL20D
Robert Nishihara (University of California, Berkeley), Ion Stoica (University of California, Berkeley), Philipp Moritz (University of California, Berkeley)
There's no easy way to scale up Python applications to the cloud. Ray is an open source framework for parallel and distributed computing, making it easy to program and analyze data at any scale by providing general-purpose high-performance primitives. Robert Nishihara, Ion Stoica, and Philipp Moritz demonstrate how to use Ray to scale up Python applications, data processing, and machine learning. Read more.

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