Group, pioneer and world-leading solution provider in virtual
prototyping for manufacturing industries, announces the
launch of the pilot version of its Adjoint Optimization Solver,
developed over the past 2 years thanks to a close collaboration between
ESI and Intel. This mutually beneficial project brings the Intel Fortran
90 compiler to a unique level of performance, allowing the
use of adjoint-based optimization methods across a wide range of
Numerical optimization has proved to be an essential technology to
achieve some ever-increasing requirements of the automotive sector.
Optimizing the shape of a vehicle allows industrials to achieve greater
fuel efficiency while using innovative, lighter materials. Numerical
simulation can be implemented at each and every step of product design
to predict the aerodynamics, aero-acoustics or even the aero-thermal
performance levels resulting from a specific product design.
Standard CFD solvers versus adjoint-based optimization method
Computational fluid dynamics (CFD) analyses are very demanding at an
industrial level because of the number and duration of the computations
they require. Further-more, the genetic algorithms traditionally used in
structural optimization are not suited for CFD optimization.
Gradient-based methods, which converge to the optimum in many fewer
iterations, require the computation of the cost function's gradient,
which is not provided by standard industrial CFD solvers.
Addressing these problems, the adjoint-based optimization method has
progressively emerged as a preferred method for CFD calculations. This
method has been recognized as most reliable by major aerospace companies
over the past decade and is now being adopted by the automotive sector.
A synergy of programming technological advances now allows the use of
the adjoint-based optimization method on an industrial scale
In an effort to make this method accessible to various industries, and
to ease up code maintenance, ESI
has recently worked towards an independent discrete adjoint solver that
takes the form of a dynamic library coded in advanced Fortran 90.
This library aims to abstract all the derivative machinery required for
assembling and solving the adjoint system, irrespective of any
discretization scheme of the application code. It has been fully
validated within ACE+
In support of this project, ESI and Intel have engaged in a fruitful
collaboration over the last 2 years, bringing the Intel F90 compiler to
a unique level of performance with respect to most advanced F90 features.
"Intel was delighted to help ESI build their advanced solver with the
Intel Fortran Compiler. This is a nice illustration of benefits of
Intel's long-standing enabling engagement in code optimization with ESI.
This collaboration gave ESI the added performance they wanted and helped
improve the Intel compiler for all customers," says Laurent Duhem,
Software Application Engineer at Intel.
For more ESI news, visit: www.esi-group.com/newsroom
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About ESI Group
is a pioneer and world-leading solution provider in virtual prototyping
for manufacturing industries that takes into account the physics of
has developed an extensive suite of coherent, industry-oriented
applications to realistically simulate a product's behavior during
testing, to fine-tune manufacturing processes in accordance with desired
product performance, and to evaluate the environment's impact on
Group is listed in compartment C of NYSE Euronext Paris.
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