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ICRA
2009
IEEE
204views Robotics» more  ICRA 2009»
13 years 11 months ago
A high-speed multi-GPU implementation of bottom-up attention using CUDA
— In this paper a novel implementation of the saliency map model on a multi-GPU platform using CUDA technology is presented. The saliency map model is a wellknown computational m...
Tingting Xu, Thomas Pototschnig, Kolja Kühnle...
GCB
2009
Springer
481views Biometrics» more  GCB 2009»
13 years 11 months ago
CUDA-based Multi-core Implementation of MDS-based Bioinformatics Algorithms
: Solving problems in bioinformatics often needs extensive computational power. Current trends in processor architecture, especially massive multi-core processors for graphic cards...
Thilo Fester, Falk Schreiber, Marc Strickert
BMCBI
2010
116views more  BMCBI 2010»
13 years 4 months ago
permGPU: Using graphics processing units in RNA microarray association studies
Background: Many analyses of microarray association studies involve permutation, bootstrap resampling and crossvalidation, that are ideally formulated as embarrassingly parallel c...
Ivo D. Shterev, Sin-Ho Jung, Stephen L. George, Ko...
HIPC
2007
Springer
13 years 11 months ago
Molecular Dynamics Simulations on Commodity GPUs with CUDA
Molecular dynamics simulations are a common and often repeated task in molecular biology. The need for speeding up this treatment comes from the requirement for large system simula...
Weiguo Liu, Bertil Schmidt, Gerrit Voss, Wolfgang ...
PDP
2009
IEEE
13 years 11 months ago
A Parallel Implementation of the 2D Wavelet Transform Using CUDA
There is a multicore platform that is currently concentrating an enormous attention due to its tremendous potential in terms of sustained performance: the NVIDIA Tesla boards. The...
Joaquín Franco, Gregorio Bernabé, Ju...