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» Parallel evolutionary algorithms on graphics processing unit
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SPIN
2010
Springer
13 years 6 months ago
Efficient Explicit-State Model Checking on General Purpose Graphics Processors
We accelerate state space exploration for explicit-state model checking by executing complex operations on the graphics processing unit (GPU). In contrast to existing approaches en...
Stefan Edelkamp, Damian Sulewski
JEI
2006
162views more  JEI 2006»
13 years 8 months ago
Markovian segmentation and parameter estimation on graphics hardware
In this paper, we show how Markovian strategies used to solve well-known segmentation problems such as motion estimation, motion detection, motion segmentation, stereovision, and c...
Pierre-Marc Jodoin, Max Mignotte
SIGMOD
2008
ACM
140views Database» more  SIGMOD 2008»
14 years 8 months ago
Relational joins on graphics processors
We present a novel design and implementation of relational join algorithms for new-generation graphics processing units (GPUs). The most recent GPU features include support for wr...
Bingsheng He, Ke Yang, Rui Fang, Mian Lu, Naga K. ...
3DPVT
2006
IEEE
229views Visualization» more  3DPVT 2006»
14 years 5 days ago
Fast and Efficient Dense Variational Stereo on GPU
Thanks to their high performance and programmability, the latest graphics cards can now be used for scientific purpose. They are indeed very efficient parallel Single Instruction ...
Julien Mairal, Renaud Keriven, Alexandre Chariot
MVA
2011
234views Computer Vision» more  MVA 2011»
13 years 3 months ago
Feature tracking and matching in video using programmable graphics hardware
Abstract This paper describes novel implementations of the KLT feature tracking and SIFT feature extraction algorithms that run on the graphics processing unit (GPU) and is suitabl...
Sudipta N. Sinha, Jan-Michael Frahm, Marc Pollefey...