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» Accelerating Large Graph Algorithms on the GPU Using CUDA
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CEC
2010
IEEE
13 years 7 months ago
Parallel hybrid evolutionary algorithms on GPU
Abstract— Over the last years, interest in hybrid metaheuristics has risen considerably in the field of optimization. Combinations of methods such as evolutionary algorithms and...
Thé Van Luong, Nouredine Melab, El-Ghazali ...
BMCBI
2010
116views more  BMCBI 2010»
13 years 6 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...
LCTRTS
2009
Springer
14 years 1 months ago
Synergistic execution of stream programs on multicores with accelerators
The StreamIt programming model has been proposed to exploit parallelism in streaming applications on general purpose multicore architectures. The StreamIt graphs describe task, da...
Abhishek Udupa, R. Govindarajan, Matthew J. Thazhu...
JPDC
2008
135views more  JPDC 2008»
13 years 6 months ago
Fast parallel GPU-sorting using a hybrid algorithm
This paper presents an algorithm for fast sorting of large lists using modern GPUs. The method achieves high speed by efficiently utilizing the parallelism of the GPU throughout th...
Erik Sintorn, Ulf Assarsson
TITB
2010
145views Education» more  TITB 2010»
13 years 1 months ago
Fast katsevich algorithm based on GPU for helical cone-beam computed tomography
Katsevich reconstruction algorithm represents a breakthrough for helical cone-beam computed tomography (CT) reconstruction, because it is the first exact cone-beam reconstruction a...
Guorui Yan, Jie Tian, Shouping Zhu, Chenghu Qin, Y...