Abstract
The optimization process for most modern engineering problems involves a repeated modeling of the target system, simulating its properties, and refining the model based on the results. This process is both time and resource consuming and therefore needs to rely on a distributed resource sharing framework in order to optimally exploit the existing resources and minimize the response time for the design engineers.
We have implemented such a framework for the design process of high voltage components and have shown its applicability to a real industrial environment. First results are very encouraging and show a high acceptance rate with the end-users. In addition, experiments with various different models show the profound impact of the optimization on the design of high-voltage components.
Chapter PDF
Similar content being viewed by others
Keywords
- High Acceptance Rate
- ASME International Mechanical Engineer
- Wide Resource
- High Voltage Component
- Message Passing Interface Forum
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Web Page, http://www.ptc.com
Andjelic, Z.: POLOPT 5.3 User’s Guide. Internal document, Asea Brown Boveri Corporate Research, Heidelberg (1999)
Bausinger, R., Kuhn, G.: Die Boundary-Element Methode (In German). Expert Verlag, Ehingen (1987)
Trinitis, C., Steinbigler, H., Spasojevic, M., Levin, P., Andjelic, Z.: Accelerated 3-D optimization of High Voltage Apparatus. In: Conference Proceedings of the 9th Int. Symposium on High Voltage Engineering, paper 8867, Graz (1995)
Kotler, L., Abramson, D., Giddy, J.: High performace parametric modelling with nimrod/g:ller application for the global grid? In: International Parallel and Distributed Processing Symposium (IPDPS), Cancun, Mexico, May 2000, pp. 520–528 (2000)
Eldred, M.S., Hart, W.E.: Design and implementation of multilevel parallel optimization on the intel teraflops. In: Seventh AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, St. Louis, MO, September 1998, pp. 44–54 (1998), AIAA-98-4707
Guisset, P., Tzannetakis, N.: Numerical methods for modeling and optimization of noise emission applications. In: ASME Symposium in Acoustics and Noise Control Software, ASME International Mechanical Engineering Congress and Exposition, Dallas, TX (November 1997)
Hooke, R., Jeeves, T.A.: Direct Search Solution of numerical and statistical Problems. Journal of Ass. of Comp. 8, 212–229 (1961)
Message Passing Interface Forum (MPIF). MPI: A Message-Passing Interface Standard. Technical Report, University of Tennessee, Knoxville (June 1995), http://www.mpi-forum.org/
Nelder, J.A., Mead, T.: A simplex method for function minimization. Computer Journal 7, 308–313 (1965)
Trinitis, C., Schulz, M., Karl, W.: A Comprehensive Electric Field Simulation Environment on Top of SCI. In: Kranzlmüller, D., Kacsuk, P., Dongarra, J., Volkert, J. (eds.) PVM/MPI 2002. LNCS (LNAI), vol. 2474, pp. 114–121. Springer, Heidelberg (2002)
Vanderplaaats, G.N.: Numerical Optimization Techniques for Engineering Design. Mc-Gaw Hill Book Company, New York (1994)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wheelhouse, E., Trinitis, C., Schulz, M. (2003). CAD Grid: Corporate-Wide Resource Sharing for Parameter Studies. In: Kosch, H., Böszörményi, L., Hellwagner, H. (eds) Euro-Par 2003 Parallel Processing. Euro-Par 2003. Lecture Notes in Computer Science, vol 2790. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45209-6_65
Download citation
DOI: https://doi.org/10.1007/978-3-540-45209-6_65
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40788-1
Online ISBN: 978-3-540-45209-6
eBook Packages: Springer Book Archive