Abstract
Concurrent computing on clusters or heterogeneous networks may be accomplished via traditional environments such as PVM [2] and MPI [3], or with emerging software frameworks termed computational grids [1]. In both scenarios, parallel distributed applications are comprised of a number of cooperating processes that exploit the resources of loosely coupled computer systems. However, there are some important differences, semantic, rather than technical in nature, that distinguish distributed computing systems from grids. This paper qualitatively analyzes the differences between these modes of concurrent computing and characterizes them in an attempt to assist developers and end users in selecting appropriate platforms for their needs.
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References
I. Foster, C. Kesselman (eds.): The Grid: Blueprint for a New Computing Infrastructure. Morgan Kaufmann Publishers, 1999.
A. Geist, A. Beguelin, J. Dongarra, W. Jiang, R. Manchek, V. Sunderam: PVM: Parallel Virtual Machine A Users’ Guide and Tutorial for Networked Parallel Computing. MIT Press, 1994
The Message Passing Interface Standard. http://www-unix.mcs.anl.gov/mpi/
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© 2001 Springer-Verlag Berlin Heidelberg
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Sunderam, V., Németh, Z. (2001). A Comparative Analysis of PVM/MPI and Computational Grids. In: Cotronis, Y., Dongarra, J. (eds) Recent Advances in Parallel Virtual Machine and Message Passing Interface. EuroPVM/MPI 2001. Lecture Notes in Computer Science, vol 2131. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45417-9_7
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DOI: https://doi.org/10.1007/3-540-45417-9_7
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