Title :
The Saaz Framework for Turbulent Flow Queries
Author :
King, Alden ; Arobone, Eric ; Baden, Scott B. ; Sarkar, Sutanu
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of California, San Diego, CA, USA
Abstract :
In many respects, numerical simulations involving solutions to partial differential equations have replaced physical experimentation. However, few tools are available to sift through the deluge of data. We present Saaz, a query framework to analyze the simulation results of multi-scale physical phenomena which admit mathematical rules for characterizing features of interest. Saaz provides high-level primitives that free the domain-scientist to concentrate more on scientific discovery and less on code implementation and maintenance. It supports user-defined domain-specific query operations which may be subsequently composed into more complex queries. While Saaz supports offline processing of queries, we explore here the online capabilities by attaching Saaz to a running simulation, improving the simulation´s effective temporal resolution. We discuss analysis for a computational fluid dynamics simulation of turbulent flow running on a cluster.
Keywords :
computational fluid dynamics; flow simulation; mechanical engineering computing; query processing; turbulence; Saaz framework; computational fluid dynamics simulation; domain-specific query operation; numerical simulation; turbulent flow query; Arrays; Computational modeling; Correlation; Data models; Kinetic energy; Mathematical model; Potential energy; array library; cfd; computational fluid dynamics; library; offline; saaz;
Conference_Titel :
E-Science (e-Science), 2011 IEEE 7th International Conference on
Conference_Location :
Stockholm
Print_ISBN :
978-1-4577-2163-2
DOI :
10.1109/eScience.2011.52
