Stochastic Simulation Efficiency of Parallel CFD Solver on Elastic Cloud Environment

dc.contributor.author	Omran Malik Omer Awad
dc.contributor.author	Awad Hag Ali Ahmed
dc.contributor.author	Abdelmonem M. Ali Artoli
dc.date.accessioned	2022-12-11T09:00:37Z
dc.date.available	2022-12-11T09:00:37Z
dc.date.issued	2014-03
dc.description.abstract	Computational fluid dynamics applications become crucial for scientist to understand various Natural phenomenon. These applications require high performance computing resources that most small academic institutions cannot afford. Elastic cloud clusters are best suited environment for those small academic institutions to gain high performance computing power and enable researchers to explore new trends in scientific computing with reasonable cost. This work aims to study the parallelism efficiency; in term of communication time and execution time for a highly optimized parallel lattice Boltzmann solver on elastic cloud clusters. On these elastic clusters we have found that the lattice Boltzmann implementation is fully adaptive, highly flexible and cost effective to use for solving complex large fluid mechanical systems.
dc.identifier.citation	Ahmed, A.H., 2014. Stochastic Simulation Efficiency of Parallel CFD Solver on Elastic Cloud Environment.
dc.identifier.issn	22312307
dc.identifier.uri	http://dspace.napata.edu.sd/handle/123456789/129
dc.language.iso	en
dc.publisher	Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd
dc.title	Stochastic Simulation Efficiency of Parallel CFD Solver on Elastic Cloud Environment
dc.type	Article

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