Improving the performance of GPU-based genetic programming through exploitation of on-chip memory
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
http://link.springer.com/content/pdf/10.1007/s00500-014-1530-3.pdf
Reference38 articles.
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3. Augusto DA, Barbosa HJC (2013) Accelerated parallel genetic programming tree evaluation with OpenCL. J Parallel Distrib Comput 73(1):86–100
4. Brameier M, Banzhaf W (2001) A comparison of linear genetic programming and neural networks in medical data mining. IEEE Trans Evol Comput 5(1):17–26
5. Cano A, Luna J, Ventura S (2013) High performance evaluation of evolutionary-mined association rules on GPUs. J Supercomput 66(3):1438–1461
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