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ICANN
2010
Springer
13 years 10 months ago
Variational Bayesian Image Super-Resolution with GPU Acceleration
With the term super-resolution we refer to the problem of reconstructing an image of higher resolution than that of unregistered and degraded observations. Typically, the reconstru...
Giannis K. Chantas
CMPB
2010
96views more  CMPB 2010»
13 years 9 months ago
Towards real-time radiation therapy: GPU accelerated superposition/convolution
We demonstrate the use of highly parallel graphics processing units (GPUs) to accelerate the Superposition/Convolution (S/C) algorithm to interactive rates while reducing the numbe...
Robert Jacques, Russell Taylor, John Wong, Todd Mc...
EOR
2007
90views more  EOR 2007»
13 years 9 months ago
Accelerating column generation for variable sized bin-packing problems
In this paper, we study different strategies to stabilize and accelerate the column generation method, when it is applied specifically to the variable sized bin-packing problem,...
Cláudio Alves, José M. Valéri...
GLOBECOM
2009
IEEE
13 years 7 months ago
Implementation and Benchmarking of Hardware Accelerators for Ciphering in LTE Terminals
Abstract--In this paper we investigate hardware implementations of ciphering algorithms, SNOW 3G and the Advanced Encryption Standard (AES), for the acceleration of the protocol st...
Sebastian Hessel, David Szczesny, Nils Lohmann, At...
CORR
2011
Springer
204views Education» more  CORR 2011»
13 years 4 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...