- author = "William B. Langdon and Ronny Lorenz",
- title = "Improving {SSE} Parallel Code with Grow and Graft Genetic Programming",
- booktitle = "GI-2017",
- year = "2017",
- editor = "Justyna Petke and David R. White and W. B. Langdon and Westley Weimer",
- pages = "1537--1538",
- address = "Berlin",
- month = "15-19 " # jul,
- publisher = "ACM",
- publisher_address = "New York, NY, USA",
- keywords = "genetic algorithms, genetic programming, genetic improvement, GGGP, Vienna_RNA, Bioinformatics, RNA structure prediction, parallel vector SSE instructions",
- isbn13 = "978-1-4503-4939-0",
-
URL = "
http://doi.acm.org/10.1145/3067695.3082524",
-
URL = "
http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/Langdon_2017_GI.pdf",
-
URL = "http://geneticimprovementofsoftware.com/wp-content/uploads/2017/05/langdon2017_parallel_code.pdf",
-
DOI = "
10.1145/3067695.3082524",
- acmid = "3082524",
- size = "2 pages",
- abstract = "RNAfold predicts the secondary structure of RNA molecules from their base sequence. We apply a mixture of manual and automated genetic improvements to RNAfold's C source code. GI gives a 1.6 percent improvement to parallel SSE4.1 code. The automatic programming evolutionary system has access to Intel library code and previous revisions. On 4666 curated structures from RNA_STRAND, GGGP gives a combined average speed up of 31.9 percent, with no loss of accuracy.",
-
notes = "code in
ftp://ftp.cs.ucl.ac.uk/genetic/gp-code/rnafoldGI.tar.gz
Slides: http://www.cs.ucl.ac.uk/staff/W.Langdon/gecco2017/Langdon_2017_GI_slides.pdf
Also known as \cite{Langdon:2017:GECCOb} \cite{Langdon:2017:ISP:3067695.3082524} GECCO-2017 A Recombination of the 26th International Conference on Genetic Algorithms (ICGA-2017) and the 22nd Annual Genetic Programming Conference (GP-2017)",
