Swarm's flight: Accelerating the particles using C-CUDA

2009 IEEE Congress on Evolutionary Computation, CEC 2009

Volumn , Issue , 2009, Pages 3264-3270

  De P Veronese, Lucas ^a   Krohling, Renato A ^a  

^a FEDERAL UNIVERSITY OF ESPÍRITO SANTO   (Brazil)

Author keywords

Computational performance evaluation; Compute unified device architecture(CUDA) CCUDA platform; Graphics processing unit (GPU); Particle swarm optimization

Indexed keywords

COMPUTATIONAL PERFORMANCE EVALUATION; COMPUTE UNIFIED DEVICE ARCHITECTURES; COMPUTING TIME; GRAPHICS PROCESSING UNIT; GRAPHICS PROCESSING UNIT (GPU); OPTIMIZATION ALGORITHMS; OPTIMIZATION PROBLEMS; PARTICLE SWARM OPTIMIZATION ALGORITHM; SWARM INTELLIGENCE;

ALGORITHMS; CELLULAR AUTOMATA; COMPUTER GRAPHICS EQUIPMENT; COMPUTER SCIENCE; IMAGE CODING; MATLAB; PROFITABILITY; PROGRAM PROCESSORS;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 70450001554     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2009.4983358     Document Type: Conference Paper

References (15)

1. J. Kennedy, and R. Eberhart, " Particle swarm optimization, " in Proceedings of the IEEE International Conference on Neural Networks (Perth, Australia), IEEE Service Center, Piscataway, NJ, IV: pp. 1941-1948, 1995.
2. M. Clerc, and J. Kennedy, " The particle swarm - explosion, stability, and convergence in a multidimensional complex space, " IEEE Trans. on Evolutionary Computation, vol. 6, no.1, pp. 58-73, 2002.
3. GPGPU homepage http://gpgpu.org.
4. D. Castaño-Díez, D. Moser, A. Schoenegger, S. Pruggnaller, A. S. Frangakis, " Performance evaluation of image processing algorithms on the GPU, " Journal of Structural Biology, vol. 164, no.1, pp. 153- 160, 2008.
5. NVIDIA homepage http://nvidia.com.
6. NVIDIA, CUDA 2.0 Programming Guide, http://developer.download.nvidia.com/ compute/cuda/2-0/docs/NVIDIA-CUDA-Programming-Guide-2.0.pdf.
7. NVIDIA, CUDA-Enabled Products, http://www.nvidia.com/object/cuda-learn- products.html.
8. NVIDIA, get CUDA, http://www.nvidia.com/object/cuda-get.html.
9. NVIDIA, CUDA documentationhttp://www.nvidia.com/object/cuda-develop.html.
10. S. Che, M. Boyer, J Meng, D. Tarjan, J. W. Sheaffer, K. Skadron, " A performance study of general-purpose applications on graphics processors using CUDA, " Journal of Parallel and Distributed Computing, vol. 68, no. 10, 2008, pp. 1370-1380.
11. D. Luebke, CUDA: Scalable parallel programming for highperformance scientific computing, in Proceedings of the 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2008, pp. 836 - 838, 2008.
12. X. Yao, Y. Liu, G. Lin, " Evolutionary programming using mutations based on Levi probability distribution, " IEEE Trans. on Evolutionary Computation, vol. 8, no.1, pp. 1-24, 2004.
13. B. Birge, PSOt - a particle swarm optimization toolbox for use with Matlab, in Proceedings of the 2003 IEEE Swarm Intelligence Symposium, SIS'03, pp. 182 -186, 2003.
14. PCI-SIG, PCI Express™ 2.0 Frequently Asked Questions PCI-SIG, http://www.pcisig.com/news-room/PCIe2-FAQ-FINAL082706a.pdf.
15. J.-M. Li, X.-J. Wang, R.-S. He; Z.-X. Chi, an efficient fine-grained parallel genetic algorithm based on GPU-accelerated, IFIP International Conference on Network and Parallel Computing, pp. 855- 862, 2007.