Evolving a CUDA kernel from an nVidia template

2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010

Volumn , Issue , 2010, Pages

  Langdon, W B ^a   Harman, M ^a  

^a KING'S COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BNF GRAMMARS; C CODES; GRAPHICS CARD; IDENTICAL FUNCTIONALITIES; STRONGLY-TYPED GENETIC PROGRAMMING; TEST ORACLES; TRAINING DATA;

ARTIFICIAL INTELLIGENCE; POPULATION STATISTICS; PROGRAM PROCESSORS;

GENETIC PROGRAMMING;

EID: 79959416750     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2010.5585922     Document Type: Conference Paper

References (17)

1. Andrea Arcuri and Xin Yao. A novel co-evolutionary approach to automatic software bug fixing. In Jun Wang, editor, 2008 IEEE World Congress on Computational Intelligence, Hong Kong, 1-6 June 2008. IEEE Press.
2. Jason M. Daida, Adam M. Hilss, David J. Ward, and Stephen L. Long. Visualizing tree structures in genetic programming. Genetic Programming and Evolvable Machines, 6(1):79-110, 2005.
3. Stephen Dignum and Riccardo Poli. Generalisation of the limiting distribution of program sizes in tree-based genetic programming and analysis of its effects on bloat. In Dirk Thierens et al., editors, GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation, volume 2, pages 1588-1595, London, 7-11 July 2007. ACM Press.
4. Stephanie Forrest, ThanhVu Nguyen, Westley Weimer, and Claire Le Goues. A genetic programming approach to automated software repair. In Guenther Raidl et al., editors, GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation, pages 947-954, Montreal, 8-12 July 2009. ACM. Best paper.
5. Simon L. Harding and Wolfgang Banzhaf. Distributed genetic programming on GPUs using CUDA. In Ignacio Hidalgo, Francisco Fernandez, and Juan Lanchares, editors, Workshop on Parallel Architectures and Bioinspired Algorithms, Raleigh, USA, September 13 2009.
6. M. Hutchins, H. Foster, T. Goradia, and T. Ostrand. Experiments on the effectiveness of dataflow- and control-flow-based test adequacy criteria. In Proceedings of 16th International Conference on Software Engineering, ICSE-16, pages 191-200, May 1994.
7. John R. Koza. Genetic Programming: On the Programming of Computers by Natural Selection. MIT press, 1992.
8. W. B. Langdon and M. Harman. Evolving gzip matches kernel from an nVidia CUDA template. Technical Report TR-10-02, Department of Computer Science, King's College London, London, WC2R 2LS, UK, February 2010.
9. W. B. Langdon and A. P. Harrison. Evolving DNA motifs to predict GeneChip probe performance. Algorithms in Molecular Biology, 4(6), 19 March 2009.
10. W. B. Langdon and Riccardo Poli. Foundations of Genetic Programming. Springer-Verlag, 2002.
11. W. B. Langdon, Olivia Sanchez Graillet, and A. P. Harrison. Automated DNA motif discovery. arXiv, 30 January 2010.
12. William B. Langdon, Mark Harman, and Yue Jia. Efficient multi objective MC, GA, GP search and higher order mutation testing. Journal of Systems and Software. Submitted.
13. William B. Langdon. Genetic Programming and Data Structures. Kluwer, 1998.
14. William B. Langdon. Size fair and homologous tree genetic programming crossovers. Genetic Programming and Evolvable Machines, 1(1/2):95-119, April 2000.
15. David J. Montana. Strongly typed genetic programming. Evolutionary Computation, 3(2):199-230, 1995.
16. Riccardo Poli, William B. Langdon, and Nicholas Freitag McPhee. A field guide to genetic programming. Published via http://lulu.com and freely available at http://www.gp-field-guide.org.uk, 2008. (With contributions by J. R. Koza).
17. Westley Weimer, ThanhVu Nguyen, Claire Le Goues, and Stephanie Forrest. Automatically finding patches using genetic programming. In Stephen Fickas, editor, International Conference on Software Engineering (ICSE) 2009, pages 364-374, Vancouver, May 16-24 2009.