- author = "William B. Langdon and Mark Harman",
- title = "Grow and Graft a better {CUDA pknotsRG} for {RNA} pseudoknot free energy calculation",
- booktitle = "Genetic Improvement 2015 Workshop",
- year = "2015",
- editor = "William B. Langdon and Justyna Petke and David R. White",
- pages = "805--810",
- organisation = "SIGEVO",
- address = "Madrid",
- publisher = "ACM",
- publisher_address = "New York, NY, USA",
- keywords = "genetic algorithms, genetic programming, genetic improvement, SBSE, BNF grammar, GPGPU, Bioinformatics, Software engineering, Artificial Intelligence, Automatic Programming",
- month = "11-15 " # jul,
- isbn13 = "978-1-4503-3488-4",
-
URL = "
http://gpbib.cs.ucl.ac.uk/gi2015/grow_and_graft_a_better_CUDA_pknotsRG-for-RNA_pseudoknot_free_energy_calculation.pdf",
-
URL = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/langdon_2015_gi_pknots.pdf",
-
URL = "
http://doi.acm.org/10.1145/2739482.2768418",
-
DOI = "
doi:10.1145/2739482.2768418",
-
code_url = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/gp-code/pknotsGI.tar.gz",
-
slide_url = "http://gpbib.cs.ucl.ac.uk/gi2015/gi_2015_slides/langdon/langdon_2015_gi_pknots_slides_short.pdf",
- size = "6 pages",
- abstract = "Grow and graft genetic programming greatly improves GPGPU dynamic programming software for predicting the minimum binding energy for folding of RNA molecules. The parallel code inserted into the existing CUDA version of pknots was grown using a BNF grammar. On an nVidia Tesla K40 GPU GGGP gives a speed up of up to 10000 times.",
-
notes = "
Cited by \cite{Langdon:2016:GPEM}
Slides: http://www.cs.ucl.ac.uk/staff/W.Langdon/gecco2015/gi_2015_slides/langdon/langdon_2015_gi_pknots_slides.pdf
GECCO-2015 A joint meeting of the twenty fourth international conference on genetic algorithms (ICGA-2015) and the twentieth annual genetic programming conference (GP-2015).
Also known as \cite{2768418} Distributed at GECCO-2015.",
