Advanced In-Database Analytics with GPUs
In this talk, you will see how GPU-accelerated computing gives you the ability to complete an aggregate query against a table with 4 billion records in 250ms or less. Complex aggregates that require table scans can now be performed in a fraction of the time.
Data analytics has changed dramatically over the last decade. We started with traditional RDBMS and distributed storage, and moved to advances in in-memory analytics with NoSQL. Today, GPUs are powering the next generation of data analytics and compute, bringing high-performance computing and real-time analytics to industry-standard hardware and enabling new enterprise solutions.
Hillery Hunter leads Accelerated Cognitive Systems research and serves as the Research Memory Strategist at IBM's T.J. Watson Research Center in Yorktown Heights, NY. She is interested in cross-disciplinary technology topics, spanning silicon to system architecture to achieve new solutions to traditional problems.
Her current team's work spans from computer architecture through systems and algorithms, with a focus on accelerators, and machine and deep learning. Dr. Hunter received the Ph.D. degree in Electrical Engineering from the University of Illinois, Urbana-Champaign and is a member of the IBM Academy of Technology.
Karthik is a Principal Solutions Architect at Kinetica. With over 18 years of software experience in a variety of roles and responsibilities, Karthik takes a holistic view at software architecture with special emphasis on helping enterprise IT organizations improve their service availability, application performance and scale.
Karthik has successfully helped recruit, build enterprise teams; architect, design and implement business and technical solutions with numerous customers in various business verticals.
Prior to Kinetica, Karthik led the pre-sales Big Data organization at Terracotta SoftwareAG. Karthik has a Bachelor's degree in Electronics and Communication from The National Institute of Engineering in India.