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PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
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DTSTART:20151118T171500Z
DTEND:20151118T180000Z
LOCATION:Ballroom D
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: During the last two decades, giant strides have been achieved in many aspects of computational engineering. Higher-fidelity mathematical models and faster numerical algorithms have been developed for an ever increasing number of applications. Linux clusters are now ubiquitous, GPUs continue to shatter computing speed barriers, and Exascale machines will increase computational power by at least two orders of magnitude. More importantly, the potential of high-fidelity physics-based simulations for providing deeper understanding of complex systems and enhancing their performance has been recognized in almost every field of engineering. Yet, in many applications, high-fidelity numerical simulations remain so computationally intensive that they cannot be performed as often as needed, or are more often performed in special circumstances than routinely. Consequently, the impact of supercomputing on time-critical operations such as engineering design, optimization, control, and test support has not yet fully materialized. To this effect, this talk will argue for the pressing need for a game-changing computational technology that leverages the power of supercomputing with the ability of low-dimensional computational models to perform in real-time. It will also present a candidate approach for such a technology that is based on projection-based nonlinear model reduction, and demonstrate its potential for parametric engineering problems using real-life examples from the naval, automotive, and aeronautics industries.
SUMMARY:Supercomputing, High-Dimensional Snapshots, and Low-Dimensional Models: A Game Changing Computational Technology for Design and Virtual Test
PRIORITY:3
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