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» Parallel Genetic Algorithm on the CUDA Architecture
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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
PPSN
2004
Springer
14 years 1 months ago
Robust Parallel Genetic Algorithms with Re-initialisation
The influence of different parallel genetic algorithm (PGA) architectures on the GA convergence properties is analysed. Next, two proposed versions of these PGA architectures are c...
Ivan Sekaj
LCPC
2009
Springer
14 years 1 months ago
MIMD Interpretation on a GPU
Programming heterogeneous parallel computer systems is notoriously difficult, but MIMD models have proven to be portable across multi-core processors, clusters, and massively paral...
Henry G. Dietz, B. Dalton Young
EGH
2009
Springer
13 years 6 months ago
Efficient stream compaction on wide SIMD many-core architectures
Stream compaction is a common parallel primitive used to remove unwanted elements in sparse data. This allows highly parallel algorithms to maintain performance over several proce...
Markus Billeter, Ola Olsson, Ulf Assarsson
ICGA
1993
75views Optimization» more  ICGA 1993»
13 years 10 months ago
Structure and Performance of Fine-Grain Parallelism in Genetic Search
Within the parallel genetic algorithm framework, there currently exists a growing dichotomy between coarse-pain and fine-grain parallel architectures. This paper attempts to chara...
Shumeet Baluja