Mar 15–18, 2020
Philipp Moritz

Philipp Moritz
UC Berkeley, University of California, Berkeley

Website

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.

Sessions

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)
Surprisingly, there is no simple way to scale up Python applications from your laptop to the cloud. Ray is an open source framework for parallel and distributed computing that makes it easy to program and analyze data at any scale by providing general-purpose high-performance primitives. This tutorial will show how to use Ray to scale up Python applications, data processing, and machine learning. Read more.

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