NSF Supports Samatova’s Research
Dr. Nagiza Samatova, associate professor of computer science at NC State University, has recently received $149,999 from the National Science Foundation to support her research. The award will support her proposal titled “Analytics-driven Efficient Indexing and Query Processing of Extreme Scale AMR Data.”
The award will run from May 1, 2012 to April 30, 2014.
Abstract: One of the most significant advances for large-scale scientific simulations has been the advent of Adaptive Mesh Refinement, or AMR. By using dynamic gridding, AMR can achieve substantial savings in memory, computation, and disk resources while maintaining or even increasing simulation accuracy, relative to static, uniform gridding. However, the resultant non-uniform structure of the simulation mesh produced by AMR methods cause inefficient post-simulation access patterns during AMR data analytics that is becoming a substantial bottleneck given the exponential increase in simulation output. Toward bridging this gap in efficient analytics support for AMR data, we propose an integrated, three-prong approach that aims: (a) To devise an AMR query model; (b) To explore effective indexing methods for AMR data analytics; and (c) To investigate data storage layout strategies for AMR data retrieval optimized for analytics-induced heterogeneous data access patterns.
For more information on Dr. Samatova, click here.
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