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, numericallyintensive applications running on massively parallel machines may be found modelling any number of natural phenomena from the smallest scale to the largest— from nuclear dynamics to the formation and evolution of the universt—as well as for the design of human artifacts—automobiles, aircraft, internal combustion engines, Pharmaceuticals—the list seems endless.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1998 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Davis, K. (1998). Introduction to Parallel Object-Oriented Scientific Computing. In: Demeyer, S., Bosch, J. (eds) Object-Oriented Technology: ECOOP’98 Workshop Reader. ECOOP 1998. Lecture Notes in Computer Science, vol 1543. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-49255-0_141
Download citation
DOI: https://doi.org/10.1007/3-540-49255-0_141
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-65460-5
Online ISBN: 978-3-540-49255-9
eBook Packages: Springer Book Archive