February 14, 2011
Dr. Nagiza Samatova, associate professor of computer science at NC State University, has recently received two awards totaling more than $610,000 from Oak Ridge National Laboratories/US Department of Energy to support her research. The first award, in the amount of $364,944, is to support her proposal titled “Scalable and Power Efficient Data Analytics for Hybrid Exascale Systems.”
Abstract: The specific objectives of the proposal are as follows:
1. Design and develop data mining kernels and algorithms for acceleration on hybrid architectures which include many-core systems, GPUs, and other accelerators.
2. Design and develop approximate scalable algorithms for data mining and analysis kernels enabling faster exploration, more efficient resource usage, reduced memory footprint, and more power efficient computations.
3. Design and develop index-based data analysis and mining kernels and algorithms for performance and power optimizations including index-based perturbation analysis kernels for noisy and uncertain data.
4. Demonstrate the results of our project by enabling analytics at scale for selected applications on large-scale HPC systems.
The second award, in the amount of $247,414, is to support her proposal titled “Runtime System for I/O Staging in Support of In-Situ Processing of Extreme Scale Data.”
Abstract: Accelerating the rate of insight and scientific productivity demands new solutions to managing the avalanche of data expected in extreme-scale. Our approach is to use tools that can reduce, analyze, and index the data while it is still in memory (referred to as "in-situ" processing of data). In order to deal with the large amount of data generated by the simulations, our team has partnered with many application teams to deliver proven technology that can accelerate their knowledge discovery process. These technologies include ADIOS, FastBit, and Parallel R. In this proposal we wish to integrate these technologies together, and create a runtime system that will allow scientists to create an easy-to-use scientific workflow system, that will run in situ, in extra nodes on the system, which is used to not only accelerate their I/O speeds, but also to pre-analyze, index, visualize, and reduce the overall amount of information from these solutions.
Both awards run from January 31, 2011 to December 31, 2013. For more information on Dr. Samatova, click here.