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Integrated parallelization of computations and visualization for large-scale applications

Malakar, Preeti and Natarajan, Vijay and Vadhiyar, Sathish S (2012) Integrated parallelization of computations and visualization for large-scale applications. In: 26th IEEE International Parallel and Distributed Processing Symposium (IPDPS) , MAY 21-25, 2012, Shanghai Jiao Tong Univ, Shanghai, PEOPLES R CHINA, pp. 2510-2513.

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Official URL: http://dx.doi.org/10.1109/IPDPSW.2012.314

Abstract

Critical applications like cyclone tracking and earthquake modeling require simultaneous high-performance simulations and online visualization for timely analysis. Faster simulations and simultaneous visualization enable scientists provide real-time guidance to decision makers. In this work, we have developed an integrated user-driven and automated steering framework that simultaneously performs numerical simulations and efficient online remote visualization of critical weather applications in resource-constrained environments. It considers application dynamics like the criticality of the application and resource dynamics like the storage space, network bandwidth and available number of processors to adapt various application and resource parameters like simulation resolution, simulation rate and the frequency of visualization. We formulate the problem of finding an optimal set of simulation parameters as a linear programming problem. This leads to 30% higher simulation rate and 25-50% lesser storage consumption than a naive greedy approach. The framework also provides the user control over various application parameters like region of interest and simulation resolution. We have also devised an adaptive algorithm to reduce the lag between the simulation and visualization times. Using experiments with different network bandwidths, we find that our adaptive algorithm is able to reduce lag as well as visualize the most representative frames.

Item Type: Conference Paper
Additional Information: Copyright of this article belongs to IEEE.
Department/Centre: Division of Electrical Sciences > Computer Science & Automation
Depositing User: Id for Latest eprints
Date Deposited: 05 Mar 2013 08:18
Last Modified: 05 Mar 2013 08:18
URI: http://eprints.iisc.ac.in/id/eprint/45414

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