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» Parallel evolutionary algorithms on graphics processing unit
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CVPR
2010
IEEE
14 years 4 months ago
Parallel Graph-cuts by Adaptive Bottom-up Merging
Graph-cuts optimization is prevalent in vision and graphics problems. It is thus of great practical importance to parallelize the graph-cuts optimization using today’s ubiquitou...
Jiangyu Liu, Jian Sun
PPL
2010
117views more  PPL 2010»
13 years 3 months ago
Neighborhood Structures for GPU-Based Local Search Algorithms
Local search (LS) algorithms are among the most powerful techniques for solving computationally hard problems in combinatorial optimization. These algorithms could be viewed as &q...
Thé Van Luong, Nouredine Melab, El-Ghazali ...
VIS
2004
IEEE
186views Visualization» more  VIS 2004»
14 years 9 months ago
Hardware-Accelerated Adaptive EWA Volume Splatting
We present a hardware-accelerated adaptive EWA volume splatting algorithm. EWA splatting combines a Gaussian reconstruction kernel with a low-pass image filter for high image qual...
Wei Chen, Liu Ren, Matthias Zwicker, Hanspeter Pfi...
BIBE
2008
IEEE
272views Bioinformatics» more  BIBE 2008»
14 years 3 months ago
Design and implementation of the Smith-Waterman algorithm on the CUDA-compatible GPU
— This paper describes a design and implementation of the Smith-Waterman algorithm accelerated on the graphics processing unit (GPU). Our method is implemented using compute uniï...
Yuma Munekawa, Fumihiko Ino, Kenichi Hagihara
MICCAI
2009
Springer
14 years 9 months ago
Real-Time Prediction of Brain Shift Using Nonlinear Finite Element Algorithms
Patient-specific biomechanical models implemented using specialized nonlinear (i.e. taking into account material and geometric nonlinearities) finite element procedures were applie...
Grand Roman Joldes, Adam Wittek, Mathieu Couton,...