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ADVANCES AND MATHEMATICAL ISSUES IN LARGE
SCALE SIMULATION
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Chair
Sub-committees
Multiscale simulation
Fast algorithms in Computational Electromagnetics
Fast algorithms in Computational Acoustics
High Performance Computing (HPC) has enabled engineers and scientists to solve complex, multi-disciplinary problems in which issues of scale are pervasive due to major advances in basic and applied simulation sciences as well as the availability of large scale computational capability. This program on large scale simulation will focus on two sub-themes, namely Multiscale Simulation and Fast Algorithms.
1. Multiscale simulation
Advanced computational techniques are crucial to the development of modeling and simulation of nano-scale phenomena due to the continued miniaturization and blending of sciences and technologies. This sub-program in multiscale simulation is intended to provide a forum for the interdisciplinary blending of the different theoretical basis for describing physical phenomena at different length scales. The ultimate objective is to efficiently couple them so as to enable the modeling and direct simulation of many physical problems. In these methods, the system to be investigated is divided into at least three sub-domains, namely the macro, micro and nano subsystems. Although this multiscale simulation method is quite clearly defined conceptually inside each subsystem, the mathematical issues are the efficient and accurate transition, namely the handshaking or transition between the continuum and the molecular models, and that between the molecular and quantum models. The focus will be on the description and mathematical modeling of the handshake or transition regions, as well as the parallelization of the source codes for efficient multiscale computation.
2. Fast algorithms
Fast algorithms refer to methodologies such as Model Order Reduction, Fast Convergent Iterative schemes, Pre-corrected Fast Fourier Transform (FFT) methods, Fast Multipole Methods and the parallelization algorithm. These fast algorithms have been widely utilized in scientific and engineering computation. This sub-program shall highlight the two major large scale engineering computation problems, namely, computational electromagnetics and computational acoustics.
In order to simulate complicated, large scale electromagnetic problems, the complexity of the applied techniques has to be reduced. The focus of this sub-theme is on effective model order reduction, fast convergent iterative schemes, pre-conditioning FFT methodology, fast multipole method, and parallel computation.
Acoustic simulations play a more and more prominent role in nearly all directions of engineering. Some typical examples are: to predict the effectiveness of sound protection shields in environment problems; to reduce the noise in automotive industry and more and more even in household applications. The focus of this sub-theme is on infinite elements, wave-envelope elements, effective iterative solvers, local/global FE acoustical solutions, conjugated infinite elements for transient problems, and parallel computation.
***In view of the logistic delays and preventive measures brought about by SARS in March - April 2003, those program activities have been postponed to October and November 2003.
IMS Membership is not required for participation in above
activities. For attendance at workshops and/or
tutorials, online registration will
be made available when the schedule are confirmed. For participation in international conference,
please visit conference website
http://www.ihpc.nus.edu.sg/ic-sec.
If you are an IMS member or are applying for IMS membership,
you do not need to register for these activities.
The Institute for Mathematical Sciences invites applications for membership for participation in the above program. Limited funds to cover travel and living expenses are available to young scientists. Applications should be received at least three (3) months before the commencement of membership. Application form is available in MSWord | PDF | PS format for download.
For enquiries on scientific aspects of the program, please email H. P. Lee at hplee@ihpc.nus.edu.sg.
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