Abstract
The past and future trends for raw computing power and for software productivity are examined. We conclude that it will become feasible (in 10–20 years) to enlarge the scope of scientific simulation systems to include both multi-physics and multi-scale simulations. These terms are defined and examples given. The scientific challenges to achieve these simulations are described and some potential approaches presented. The roles of improved computational algorithms and validation procedures are discussed.
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© 2000 Springer Science+Business Media New York
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Rice, J.R. (2000). Future Challenges for Scientific Simulation. In: Houstis, E.N., Rice, J.R., Gallopoulos, E., Bramley, R. (eds) Enabling Technologies for Computational Science. The Springer International Series in Engineering and Computer Science, vol 548. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-4541-5_1
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DOI: https://doi.org/10.1007/978-1-4615-4541-5_1
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-7049-9
Online ISBN: 978-1-4615-4541-5
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