Abstract
High-performance scientific computing is arguably of greater importance than heretofore in the history of computing. Traditionally used primarily in support of fission- and fusion bomb design and weather forecasting, numerically-intensive applications running on massively parallel machines may be found modeling any number of natural phenomena from the smallest scale to the largest—from nuclear dynamics to the formation and evolution of the universe—as well as for the design of human artifacts—automobiles, aircraft, internal combustion engines, pharmaceuticals—the list seems endless. With the announcement of the Japanese Earth Simulator—a machine ostensibly designed expressly for global environmental modeling—and subsequent announcements by other institutions and governments of intents to build comparable machines for similar purposes, it is arguable that such simulations will be the primary consumer of supercomputing capacity worldwide.
Keywords
- Object Oriented
- Human Artifact
- Expression Template
- High Performance Computing Application
- Global Environmental Modeling
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.
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© 2004 Springer-Verlag Berlin Heidelberg
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Davis, K., Striegnitz, J. (2004). Parallel Object-Oriented Scientific Computing Today. In: Buschmann, F., Buchmann, A.P., Cilia, M.A. (eds) Object-Oriented Technology. ECOOP 2003 Workshop Reader. ECOOP 2003. Lecture Notes in Computer Science, vol 3013. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25934-3_2
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DOI: https://doi.org/10.1007/978-3-540-25934-3_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22405-1
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