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EOR
2007
100views more  EOR 2007»
13 years 10 months ago
Parallel radial basis function methods for the global optimization of expensive functions
We introduce a master–worker framework for parallel global optimization of computationally expensive functions using response surface models. In particular, we parallelize two r...
Rommel G. Regis, Christine A. Shoemaker
AMC
2010
175views more  AMC 2010»
13 years 10 months ago
An inexact parallel splitting augmented Lagrangian method for large system of linear equations
: Parallel iterative methods are powerful tool for solving large system of linear equations (LEs). The existing parallel computing research results are focussed mainly on sparse sy...
Zheng Peng, DongHua Wu
SBACPAD
2003
IEEE
138views Hardware» more  SBACPAD 2003»
14 years 3 months ago
Finite Difference Simulations of the Navier-Stokes Equations Using Parallel Distributed Computing
 This paper discusses the implementation of a numerical algorithm for simulating incompressible fluid flows based on the finite difference method and designed for parallel compu...
João Paulo De Angeli, Andréa M. P. V...
IPPS
2005
IEEE
14 years 3 months ago
EMPS: An Environment for Memory Performance Studies
This paper describes an overview of Environment for Memory Performance Studies (EMPS). EMPS is a framework to allow different data gathering and simulation tools to be composed to...
Jeffrey K. Hollingsworth, Allan Snavely, Simone Sb...
CEC
2008
IEEE
14 years 4 months ago
A parallel surrogate-assisted multi-objective evolutionary algorithm for computationally expensive optimization problems
Abstract— This paper presents a new efficient multiobjective evolutionary algorithm for solving computationallyintensive optimization problems. To support a high degree of parall...
Anna Syberfeldt, Henrik Grimm, Amos Ng, Robert Ivo...