Presented By O'Reilly and Cloudera
Make Data Work
September 26–27, 2016: Training
September 27–29, 2016: Tutorials & Conference
New York, NY
Raj Krishnamurthy

Raj Krishnamurthy
Senior Technical Staff Member, IBM

Website

Raj Krishnamurthy designs and develops system stacks consisting of software and hardware elements for emerging and contemporary data analytics workloads. He has been a technical staff member in the Enterprise Systems division at IBM since 2006. His work has impacted several platforms, software products, and roadmaps in IBM—both on mainframes and Power Systems. Raj holds 76+ patents (with 60+ still pending) and has written a number of external peer-reviewed publications. Raj holds a PhD in computer science and an MS/BS degree in electrical engineering.

Sessions

2:05pm–2:45pm Wednesday, 09/28/2016
Spark & beyond
Location: Hall 1B Level: Intermediate
Average rating: ***..
(3.75, 4 ratings)
Spark's efficiency and speed can help reduce the TCO of existing clusters. This is because Spark's performance advantages allow it to complete processing in drastically shorter batch windows with higher performance per dollar. Raj Krishnamurthy offers a detailed walk-through of an alternating least squares-based matrix factorization workload able to improve runtimes by a factor of 2.22. Read more.