J. M. Li, X. J. Wang, R. S. He, and Z. X. Chi, An Efficient Fine-grained Parallel Genetic Algorithm Based on GPU-Accelerated, 2007 IFIP International Conference on Network and Parallel Computing Workshops (NPC 2007), pp.855-862, 2007.
DOI : 10.1109/NPC.2007.108

D. M. Chitty, A data parallel approach to genetic programming using programmable graphics hardware, Proceedings of the 9th annual conference on Genetic and evolutionary computation , GECCO '07, pp.1566-1573, 2007.
DOI : 10.1145/1276958.1277274

T. T. Wong and M. L. Wong, Parallel Evolutionary Algorithms on Consumer-Level Graphics Processing Unit, In: Parallel Evolutionary Computations, pp.133-155, 2006.
DOI : 10.1007/3-540-32839-4_7

K. L. Fok, T. T. Wong, and M. L. Wong, Evolutionary Computing on Consumer Graphics Hardware, IEEE Intelligent Systems, vol.22, issue.2, pp.69-78, 2007.
DOI : 10.1109/MIS.2007.28

E. G. Talbi, From design to implementation, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00750681

S. Ryoo, C. I. Rodrigues, S. S. Baghsorkhi, S. S. Stone, D. B. Kirk et al., Optimization principles and application performance evaluation of a multithreaded GPU using CUDA, Proceedings of the 13th ACM SIGPLAN Symposium on Principles and practice of parallel programming , PPoPP '08, pp.73-82, 2008.
DOI : 10.1145/1345206.1345220

D. Pointcheval, A New Identification Scheme Based on the Perceptrons Problem, In: EUROCRYPT, pp.319-328, 1995.
DOI : 10.1007/3-540-49264-X_26

S. Cahon, N. Melab, and E. G. Talbi, ParadisEO: A Framework for the Reusable Design of Parallel and Distributed Metaheuristics, Journal of Heuristics, vol.10, issue.3, pp.357-380, 2004.
DOI : 10.1023/B:HEUR.0000026900.92269.ec