A cluster computing implementation of a Monte Carlo simulation of a particle growth mechanismWilliams, S. A., Mitchell, P. C. H. and Fagg, G. E. (1994) A cluster computing implementation of a Monte Carlo simulation of a particle growth mechanism. International Journal of Parallel, Emergent and Distributed Systems, 4 (3-4). pp. 275-280. ISSN 1744-5779 Full text not archived in this repository. It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. To link to this item DOI: 10.1080/10637199408915468 Abstract/SummaryClusters of computers can be used together to provide a powerful computing resource. Large Monte Carlo simulations, such as those used to model particle growth, are computationally intensive and take considerable time to execute on conventional workstations. By spreading the work of the simulation across a cluster of computers, the elapsed execution time can be greatly reduced. Thus a user has apparently the performance of a supercomputer by using the spare cycles on other workstations.
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