Friday, October 29, 2021 - 12:00pm to 1:00pm
Location:Virtual Presentation - ET Remote Access - Zoom Webinar (NEW LINK)
Speaker:ION STOICA, Professor of Computer Science, and Director, RISELab https://www2.eecs.berkeley.edu/Faculty/Homepages/stoica.html
Systems and ML at RISELab
In this talk, I will present several of the projects we are developing at RISELab, a two-year old lab at UC Berkeley that focusses on building platforms and algorithms for real-time intelligent decisions, decisions that are secure and explainable. These projects include both systems to better support machine learning (ML) workloads, and leveraging ML to build better systems. In the first category, I will present, Ray, a general-purpose distributed system which provides both task-parallel and actor abstractions. Today, Ray employs the most complete ecosystem of distributed ML libraries. In the second category, I will present Balsa, a system that learns a database query optimizer from scratch, and NeuroCuts, a tool that generates decision trees for network packet classifiers.
Ion Stoica is a Professor in the EECS Department at the University of California at Berkeley, and the Director of RISELab. He is currently doing research on cloud computing and AI systems. Past work includes Apache Spark, Apache Mesos, Tachyon, Chord DHT, and Dynamic Packet State (DPS). He is an ACM Fellow and has received numerous awards, including the Mark Weiser Award (2019), SIGOPS Hall of Fame Award (2015), and several "Test of Time" awards. He also co-founded three companies, Anyscale (2019), Databricks (2013) and Conviva (2006).
Zoom Participation. See announcement. (NEW as of October 29)