Document Type
Article
Date
2000
Keywords
high performance parallel computing, distributed computing, computational science
Language
English
Disciplines
Computer Sciences
Description/Abstract
We present an overview of the state of the art and future trends in high performance parallel and distributed computing, and discuss techniques for using such computers in the simulation of complex problems in computational science. The use of high performance parallel computers can help improve our understanding of complex systems, and the converse is also true — we can apply techniques used for the study of complex systems to improve our understanding of parallel computing. We consider parallel computing as the mapping of one complex system — typically a model of the world — into another complex system — the parallel computer. We study static, dynamic, spatial and temporal properties of both the complex systems and the map between them. The result is a better understanding of which computer architectures are good for which problems, and of software structure, automatic partitioning of data, and the performance of parallel machines.
Recommended Citation
Fox, Geoffrey C. and Coddington, Paul D., "Parallel computers and complex systems" (2000). Northeast Parallel Architecture Center. 61.
https://surface.syr.edu/npac/61
Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.
Additional Information
In Bossomaier, T.R.J. & Green, D.G. (eds) Complex Systems. Cambridge