Mar 15–18, 2020
Ion Stoica

Ion Stoica
Professor, University of California, Berkeley

Website

Ion Stoica is a professor in the electrical engineering and computer sciences (EECS) department at the University of California, Berkeley, where he does research on cloud computing and networked computer systems. Previously, he worked on dynamic packet state, chord DHT, internet indirection infrastructure (i3), declarative networks, and large-scale systems, including Apache Spark, Apache Mesos, and Alluxio. He’s the cofounder of Databricks—a startup to commercialize Apache Spark—and Conviva—a startup to commercialize technologies for large-scale video distribution. Ion is an ACM fellow and has received numerous awards, including inclusion in the SIGOPS Hall of Fame (2015), the SIGCOMM Test of Time Award (2011), and the ACM doctoral dissertation award (2001).

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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