Presented By O’Reilly and Cloudera
Make Data Work
March 5–6, 2018: Training
March 6–8, 2018: Tutorials & Conference
San Jose, CA
Shivaram Venkataraman

Shivaram Venkataraman
Researcher, Microsoft Research

Shivaram Venkataraman is a postdoctoral researcher at Microsoft Research. Starting in Fall 2018, he will be an assistant professor in computer science at the University of Wisconsin-Madison. Shivaram holds a PhD from the University of California, Berkeley, where he was advised by Mike Franklin and Ion Stoica. His work spans distributed systems, operating systems, and machine learning, and his recent research has looked at designing systems and algorithms for large-scale data analysis.


11:50am12:30pm Wednesday, March 7, 2018
Sergey Ermolin (Intel), Shivaram Venkataraman (Microsoft Research)
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The BigDL framework scales deep learning for large datasets using Apache Spark. However there is significant scheduling overhead from Spark when running BigDL at large scale. Shivaram Venkataraman and Sergey Ermolin outline a new parameter manager implementation that along with coarse-grained scheduling can provide significant speedups for deep learning models like Inception and VGG. Read more.