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Performance analysis of DECK collective communication service

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6 Author(s)
Silva, R. ; Inst. of Informatics, UFRGS, Porto Alegre, Brazil ; Picinin, D. ; Barreto, M. ; Avila, R.
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Collective communication is very useful for parallel applications, especially those in which matrix and vector data structures need to be manipulated by a group of processes. We present a performance analysis of collective communication primitives designed for the DECK parallel programming environment, with the aid of different numerical methods used to solve hydrodynamics and mass transportation models.

Published in:

Computer Architecture and High Performance Computing, 2003. Proceedings. 15th Symposium on

Date of Conference:

10-12 Nov. 2003