Accelerating the Big Data Challenge With Machine Learning on Emerging Architectures

Presented on September 6, 2016 from 1:00 p.m.-2:30 p.m. at the Klaus Advanced Computing Building, Room 1116W, Georgia Institute of Technology.South Big Data Innovation Hub ; Applications of Analytics and Machine Learning in Energy Industry-Academia WorkshopEnergy and Data Science Academia Talks - Big Data Processing and VisualizationDuen Horng (“Polo”) Chau helps make interactions with computers easier and more secure. He is an assistant professor at the School of Computational Science & Engineering in the College of Computing at the Georgia Institute of Technology, and an associate director of the master’s in analytics degree program.Judy Qiu is an Assistant Professor in the School of Informatics and Computing at Indiana University. Her research interests are on data-intensive computing at the intersection of Cloud and multicore technologies with an emphasis on life science applications using MapReduce and traditional parallel and distributed computing approaches. Dr. Qiu leads the SALSA project in the Pervasive Technology Institute at Indiana University. Data intensive science, Cloud computing and Multicore computing are converging and will revolutionize next generation of computing in architectural design and programming challenges. They enable the pipeline: data becomes information becomes knowledge becomes wisdom.Runtime: 23:40 minutes (Chau)Runtime: 23:41 minutes (Qui