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CORR
2011
Springer
204views Education» more  CORR 2011»
14 years 8 months ago
Accelerated Dual Descent for Network Optimization
—Dual descent methods are commonly used to solve network optimization problems because their implementation can be distributed through the network. However, their convergence rat...
Michael Zargham, A. Ribeiro, Ali Jadbabaie, Asuman...
CSE
2012
IEEE
13 years 9 months ago
Accelerating Quantum Monte Carlo Simulations of Real Materials on GPU Clusters
—Continuum quantum Monte Carlo (QMC) has proved to be an invaluable tool for predicting the properties of matter from fundamental principles. By solving the manybody Schr¨odinge...
Kenneth Esler, Jeongnim Kim, David M. Ceperley, Lu...
CGF
2006
98views more  CGF 2006»
15 years 1 months ago
An Improved Physically-Based Soft Shadow Volume Algorithm
We identify and analyze several performance problems in a state-of-the-art physically-based soft shadow volume algorithm, and present an improved method that alleviates these prob...
Jaakko Lehtinen, Samuli Laine, Timo Aila
144
Voted
JGO
2010
112views more  JGO 2010»
14 years 12 months ago
An information global minimization algorithm using the local improvement technique
In this paper, the global optimization problem with an objective function that is multiextremal that satisfies the Lipschitz condition over a hypercube is considered. An algorithm...
Daniela Lera, Yaroslav D. Sergeyev
CLUSTER
2000
IEEE
15 years 6 months ago
Multi-Grid Acceleration of a SIMPLE-Based CFD-Code and Aspects of Parallelization
The present study treats the calculation of the continuous phase of a multiphase flow, i.e. the numerical solution of the equations for a turbulent incompressible flow. An exist...
Klaus Bernert, Thomas Frank, Hellfried Schneider, ...