Exploração de Paralelismo de Dados em Ambiente Distribuído
Abstract
This paper describes the work being done at UFRGS seeking for techniques to enhance algorithms performance by exploiting its parallelism in a distributed environment, ephasizing algorithms with data parallelism. Issues related to load balancing, efficient communication, heterogeneous processing and fault tolerance in such environment are discussed. Practical results obtained with an image sinthesys algorithm are presented and performance comparisons with a Cray Y-MP232/2E are stated.
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