Vatsavai Receives ORNL Support for Big Data Project
Dr. Ranga Vatsavai, associate professor of computer science at NC State University, has been awarded $25,000 by the Oak Ridge National Laboratory to support his research proposal entitled “Mini-Apps for Data-Intensive Discovery on Big Data Architectures.”
The award will run from January 1, 2016 through September 30, 2016.
Abstract – Scaling-up scientific data analysis and machine learning algorithms for data-driven discovery is a grand challenge that we face today. Despite the growing need for analysis from science domains that are generating Big Data™ from instruments and simulations, building high-performance analytical workflows of data-specific algorithms has been daunting because: (i) the Big Data™ hardware and software architecture landscape is constantly evolving, (ii) newer architectures impose new programming models, and (iii) data-parallel kernels of analysis algorithms and their performance facets on different architectures are poorly understood. To address these problems, this project seeks to: (i) develop scalable data-parallel kernels of popular data analysis algorithms, (ii) implement ˜Mini-Apps™ of those kernels using different programming models (e.g. MapReduce, Bulk-synchronous), (iii) benchmark and validate the performance of the kernels in diverse architectures (Rhea, Urika-XA, Amazon EC2, etc.), and (iv) demonstrate a workflow of kernels on a DOE-centric image-analysis use-case.
For more information on Dr. Vatsavai, click here.
Return To News Homepage