Jan 2015 – Jan 2015 · 0 mo

Sep 2014 – Aug 2020 · 5 yrs 11 mos

• Thesis: Interactive Data Analytics using GPUs
• Modern GPUs can provide an order-of-magnitude higher memory bandwidth compared to CPUs which can enable interactive query runtimes on analytical queries. However, the massively parallel architecture of GPUs requires rearchitecting in-memory data analytics systems in order to achieve optimal performance. In my PhD, we developed Crystal, a framework for writing high performance SQL query implementations for GPU. We showed that using GPUs can lead to significant performance improvement (~24x in our setup). Finally, we developed theoretical models for estimating query runtime and showed that Crystal achieves these lower bounds.

May 2013 – Jul 2013 · 2 mos · Redmond

• Quickr: Approximating Big Data Queries

May 2012 – Jul 2012 · 2 mos · Braunschweig Area, Germany

• RDF Provisioning for the Internet of Things
• Worked on bringing wireless sensor nodes into the IoT by having embedded tuplestore for RDF data storage on the nodes and interacting with outside world via CoAP.

May 2011 – Aug 2011 · 3 mos

• Student , Google Summer of Code. Worked on Dashed Corner rendering for Firefox.