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CIE Keynote Lecture
Charbel Farhat
Stanford University
Tuesday, August 30, 2011 Session: CIE 24-1
12:00pm–1:40pm Location: Regency A
Game-Changing Computational Engineering Technology
During the last two decades, giant strides have been achieved
in many aspects of Computational Engineering. Higher-fidelity
mathematical models, better approximation methods, and
faster algorithms have been developed for many timedependent
applications. SIMD, SPMD, MIMD, coarse-grain,
and fine-grain parallel processors have come and gone. Linux
clusters are now ubiquitous, cores have replaced CEs, and
GPUs have shattered computing speed barriers. Most
importantly, the potential of high-fidelity physics-based
simulations for providing deeper understanding of complex
engineering systems and enhancing system performance has
been recognized in almost every field of engineering. Yet, in
many engineering applications, high-fidelity time-dependent
numerical simulations are not performed as often as needed,
or are more often performed in special circumstances than
routinely. The reason is very simple: despite all aforementioned
evolutions, these simulations remain too computationally
intensive for time-critical operations such as design, design
optimization, and active control. Consequently, the impact of
computational sciences on such operations has yet to
materialize. Achieving this objective demands a game-changing
computational technology that bridges both ends of the
computing spectrum: supercomputers and desktops. This talk
will attempt to make the case for this pressing need. It will also
outline a candidate real-time computational technology based
on model reduction methods, machine learning concepts,
trained data bases, and interpolation on manifolds. It will also
illustrate this computational technology with preliminary results
obtained from its application to the support of the flutter flight
testing of an F-16 aircraft and the aerodynamic optimization of
a Formula 1 car. The talk will conclude with the demonstration
of real-time, CFD-based, flutter analysis of a wing-store
configuration parameterized by the Mach number, altitude, and
fuel fill level on an … iPhone.
Biographical Description: Charbel Farhat is the Vivian
Church Hoff Professor of Aircraft Structures at Stanford
University where he is also Chairman of the Department of
Aeronautics and Astronautics, Professor of Mechanical
Engineering, Professor in the Institute for Computational and
Mathematical Engineering, and Director of the Army High
Performance Computing Research Center. He is designated by
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KEYNOTE AND AWARD LECTURES
the Institute for Science Information (ISI) as a highly cited
researcher in engineering. He is also the recipient of several
prestigious awards including the AIAA Structures, Structural
Dynamics and Materials Award (2010), USACM John von
Neumann Medal (2009), IEEE Computer Society Gordon Bell
Award (2002), IACM Computational Mechanics Award (2002),
Department of Defense Modeling and Simulation Award (2001),
USACM Computational and Applied Sciences Award (2001),
and IEEE Computer Society Sidney Fernbach Award (1997). He
is a Fellow of the ASME (2003), IACM (2002), World Innovation
Foundation (2001), USACM (2001), and AIAA (1999). He is an
Editor of both the International Journal for Numerical Methods in
Engineering and the International Journal for Numerical Methods
in Fluids. He currently serves on the United States Bureau of
Industry and Security’s Emerging Technology and Research
Advisory Committee (ETRAC) at the United States Department
of Commerce, and on the technical assessment boards of
several national research councils and foundations.
DAC, DFMLC and MECH
Keynote Lecture
Sridhar Kota
White House Office of Science and
Technology
Monday, August 29, 2011 Session: DAC 3 /
DFMLC 2 / MECH 4
10:40am – 12:00pm Location: Regency C
Innovation and US-based Manufacturing
Innovation and manufacturing are intricately linked, but not just
in the direction usually conceived—from innovation to
manufacturing. During the scale-up and manufacturing phases
that follow the initial discovery phase, many improvements in
design and efficiency arise, feeding back to new cycles of
innovation. Thus, if we fail to manufacture today’s advanced
technology products, we risk losing our ability to innovate nextgeneration
products. Increasingly, the United States has relied
on the approach of “invent it here, manufacture it there.” Digital
cameras, flat screen televisions, lithium-ion batteries, and solar
cells are but a few examples of products largely invented in the
U.S. and manufactured elsewhere—a model that is not
economically sustainable. Universities and Federal labs have an
important role to play in transitioning promising ideas into
products made in the U.S. By investing in infrastructure to
mature emerging technologies beyond the discovery phase and
enhance their manufacturing readiness, the United States can
re-establish a robust manufacturing base. This talk highlights the
Obama Administration’s priorities in advanced manufacturing
and the significance of systems engineering and manufacturing
as a means of ensuring economic, energy, and national security.