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» Parallel evolutionary algorithms on graphics processing unit
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IWINAC
2005
Springer
14 years 1 months ago
Parallel Evolutionary Computation: Application of an EA to Controller Design
The evolutionary algorithms can be considered as a powerful and interesting technique for solving large kinds of control problems. However, the great disadvantage of the evolutiona...
Manuel Parrilla Sánchez, Joaquín Ara...
CIKM
2009
Springer
14 years 1 months ago
Density-based clustering using graphics processors
During the last few years, GPUs have evolved from simple devices for the display signal preparation into powerful coprocessors that do not only support typical computer graphics t...
Christian Böhm, Robert Noll, Claudia Plant, B...
ICAPR
2005
Springer
14 years 1 months ago
Unsupervised Markovian Segmentation on Graphics Hardware
Abstract. This contribution shows how unsupervised Markovian segmentation techniques can be accelerated when implemented on graphics hardware equipped with a Graphics Processing Un...
Pierre-Marc Jodoin, Jean-François St-Amour,...
ADVIS
2000
Springer
14 years 23 days ago
Evolutionary Prefetching and Caching in an Independent Storage Units Model
Modern applications demand support for a large number of clients and require large scale storage subsystems. This paper presents a theoretical model of prefetching and caching of s...
Athena Vakali
INTENSIVE
2009
IEEE
14 years 3 months ago
Accelerating K-Means on the Graphics Processor via CUDA
In this paper an optimized k-means implementation on the graphics processing unit (GPU) is presented. NVIDIA’s Compute Unified Device Architecture (CUDA), available from the G8...
Mario Zechner, Michael Granitzer