A Framework for Online Visualization and Simulation of Critical Weather Applications

Preeti Malakar, Vijay Natarajan & Sathish S Vadhiyar

Critical weather applications like cyclone tracking and earthquake modeling require high-performance simulations and online visualization simultaneously performed with the simulations for timely collaborative analysis by geographically dist ributed climate science community. A computational steering framework for contro lling the high-performance simulations of critical weather events needs to take into account both the steering inputs of the scientists and the criticality need s of the application including minimum progress rate of simulations and continuo us visualization of significant events. In this work, we have developed an integrated user-driven and automated steering framework for simulations, online remote visualization, and analysis for critical weather applications. Our framework provides the user control over various application parameters including region of interest, resolution of simulations, and frequency of data for visualization. However, the framework considers the criticality of the application, namely, the minimum progress rate needed for the application, and various resource constraints including storage space, network bandwidth, and number of processors, to decide on the final parameter values for simulations and visualization. Thus our framework tries to find the best possible parameter values based on both the user input and resource constraints. We have demonstrated our framework using a cross-continent steering of a cyclone tracking application involving a maximum of 128 processors. Experimental results show that our framework provides high rate of simulations, continuous visualizations, and also performs reconciliation between algorithm and user-driven computational steering.