Abstract
With the increase of processor performance numerical simulation has become a ubiquitous technology both in science and industry. In both fields it is part of a workflow or a process chain in which it has to be integrated in a seamless way. In research this integration is sometimes referred to as e-science. The term indicates that electronic means change the way scientists work. In industry the key words are information lifecycle management (ILM) and product lifecycle management (PLM). They describe the fact that information processes are integrated via a coordinated software solution into processes and work flows. Simulation and its results have to become a part of this context. The paper presented focuses on simulations carried out on supercomputing systems. The special problems of their integration both in the scientific work and the industrial process are discussed.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Resch M (2005) High Performance Computing in engineering and science'. In: Krause E, Shokin YuI, Resch M, Shokina N (eds) Computational Science and High Performance Computing. Notes on Numerical Fluid Mechanics and Multidisciplinary Design 88. Springer, Berlin, Heidelberg, New York
TOP 500 list http://www.top500.org
Joseph E II, Willard Ch, Goldfarb D, Kaufmann N (2001) Capability market dynamics, part 1: changes in vector supercomputers - will the Cray/NEC partnership change the trend? IDC, March 2001
Moore GE (1965) Electronics 38(8):114–117
Intel multi-core processor architecture development backgrounder http://www.intel.com/cd/ids/developer/asmo-na/eng/201969. htm?page=1
Graham SL, Snir M, Patterson CD (eds) (2004) Getting up to speed: the future of supercomputing. National Academy Press
UK e-science web page http://www.rcuk.ac.uk/escience/
Resch MM (2004) inSIDE 2(1)
Foster I, Kesselman C (1999) The Grid: blueprint for a new computing infrastructure. Morgan Kaufmann San Francisco/California
Foster I, Kesselmann C, Tuecke S (2001) Int J High Perf Comp Appl 15(3):200–222
UK E-Science Project http://www.rcuk.ac.uk/escience/
Müller M, Gabriel E, Resch M (2002) Concurr Comp Pract Exp 14: 1543–1551
Rieger H, Fornasier L, Haberhauer S, Resch MM (1996) Pilot implementation of an aerospace design system into a parallel user simulation environment. In: Liddell H, Colbrok A, Hertzberger P, Sloot P (eds) High-Performance Computing and Networking. Lecture Notes in Computer Science 1067. Springer Verlag
Amann R, Longhitano L, Moggia P, Testa S (2005) The role of a simulation tool in the creation and transformation of knowledge in a company in the automotive industry', 21st EGOS Conf., Freie Universitüt Berlin
Fox G, Walker D (2003) e-science gap analysis. Technical Report UKeS-2003–01, UK e-Science Core Programme http://www.nesc.ac.uk/technical_papers/UKeS-2003–01/GapAnalysis30June03.pdf
Hoschek W, Jaen-Martinez J, Samar A, Stockinger H, Stockinger K (2000) Data management in an International Data Grid Project', IEEE/ACM Int. Workshop on Grid Computing Grid'2000, Bangalore, India
EU EGEE Project “Enabling Grids for E-sciencE” http://www.eu-egee.org/
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer
About this paper
Cite this paper
Resch, M. (2006). Industrial and scientific frameworks for computational science and engineering. In: Krause, E., Shokin, Y., Resch, M., Shokina, N. (eds) Computational Science and High Performance Computing II. Notes on Numerical Fluid Mechanics and Multidisciplinary Design, vol 91. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-31768-6_3
Download citation
DOI: https://doi.org/10.1007/3-540-31768-6_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-31767-8
Online ISBN: 978-3-540-31768-5
eBook Packages: EngineeringEngineering (R0)