Sep 23–26, 2019

Sajan Govindan
Solutions Architect, Intel

Sajan Govindan is a solutions architect on the data analytics technologies team at Intel, focusing on open source technologies for big data analytics and AI solutions. Sajan has been with Intel for more than eighteen years, with many years of experience and expertise in building analytics and AI solutions, working through the advancements in the Hadoop and Spark ecosystem and machine learning and deep learning frameworks in various industry verticals and domains.

Sessions

3:45pm–4:25pm Thursday, September 26, 2019

Location: 1A 06/07

Deep learning on Apache Spark at CERN’s Large Hadron Collider with Analytics Zoo

Data Science, Machine Learning, & AI

Secondary topics: Deep Learning

Sajan Govindan (Intel)

Sajan Govindan outlines CERN’s research on deep learning in high energy physics experiments as an alternative to customized rule-based methods with an example of topology classification to improve real-time event selection at the Large Hadron Collider. CERN uses deep learning pipelines on Apache Spark using BigDL and Analytics Zoo open source software on Intel Xeon-based clusters. Read more.