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2009
IEEE
13 years 7 months ago
Coordinating the use of GPU and CPU for improving performance of compute intensive applications
GPUs have recently evolved into very fast parallel co-processors capable of executing general purpose computations extremely efficiently. At the same time, multi-core CPUs evolutio...
George Teodoro, Rafael Sachetto Oliveira, Olcay Se...
CCGRID
2005
IEEE
14 years 2 months ago
Empirical evaluation of shared parallel execution on independently scheduled clusters
Parallel machines are typically space shared, or time shared such that only one application executes on a group of nodes at any given time. It is generally assumed that executing ...
M. Ghanesh, S. Kumar, Jaspal Subhlok
NC
1998
138views Neural Networks» more  NC 1998»
13 years 10 months ago
Parallel Adaptive Genetic Algorithm
In this paper we introduce an efficient implementation of asynchronously parallel genetic algorithm with adaptive genetic operators. The classic genetic algorithm paradigm is exte...
Leo Budin, Marin Golub, Domagoj Jakobovic
SC
2009
ACM
14 years 4 months ago
Exploring many task computing in scientific workflows
One of the main advantages of using a scientific workflow management system (SWfMS) to orchestrate data flows among scientific activities is to control and register the whole work...
Eduardo S. Ogasawara, Daniel de Oliveira, Fernando...
HPCA
2000
IEEE
14 years 1 months ago
Impact of Heterogeneity on DSM Performance
This paper explores area/parallelism tradeo s in the design of distributed shared-memory (DSM) multiprocessors built out of large single-chip computing nodes. In this context, are...
Renato J. O. Figueiredo, José A. B. Fortes