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» Parallel evolutionary algorithms on graphics processing unit
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CVPR
2010
IEEE
16 years 20 days 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
150
Voted
PPL
2010
117views more  PPL 2010»
14 years 11 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»
16 years 5 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»
15 years 11 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
16 years 5 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,...