Malakar, Preeti and Natarajan, Vijay and Vadhiyar, Sathish S (2011) INST: An Integrated Steering Framework for Critical Weather Applications. In: International Conference on Computational Science (ICCS) on the Ascent of Computational Excellence, 2011, Campus Nanyang Technolog Univ, Singapore, SINGAPORE.
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Online remote visualization and steering of critical weather applications like cyclone tracking are essential for effective and timely analysis by geographically distributed climate science community. A steering framework for controlling the high-performance simulations of critical weather events needs to take into account both the steering inputs of the scientists and the criticality needs of the application including minimum progress rate of simulations and continuous visualization of significant events. In this work, we have developed an integrated user-driven and automated steering framework INST for simulations, online remote visualization, and analysis for critical weather applications. INST provides the user control over various application parameters including region of interest, resolution of simulation, and frequency of data for visualization. Unlike existing efforts, our framework considers both the steering inputs and the criticality of the application, namely, the minimum progress rate needed for the application, and various resource constraints including storage space and network bandwidth to decide the best possible parameter values for simulations and visualization.
|Item Type:||Conference Proceedings|
|Additional Information:||Copyright for this article belongs to Elsevier|
|Department/Centre:||Division of Electrical Sciences > Computer Science & Automation (Formerly, School of Automation)
Division of Information Sciences > Supercomputer Education & Research Centre
|Date Deposited:||03 Aug 2012 06:25|
|Last Modified:||03 Aug 2012 06:25|
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