The Saaz Framework for Turbulent Flow Queries

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.