- author = "William B. Langdon and Brian Yee Hong Lam and Marc Modat and Justyna Petke and Mark Harman",
- title = "Genetic Improvement of {GPU} Software",
- journal = "Genetic Programming and Evolvable Machines",
- year = "2017",
- volume = "18",
- number = "1",
- month = mar,
- pages = "5--44",
- keywords = "genetic algorithms, genetic programming, genetic improvement, SBSE, GI-GPGPU, metaprogramming, Grammar Based Genetic Programming, nVidia CUDA, parallel computing, Dynamic Programming, GPGPU, GGGP",
- ISSN = "1389-2576",
-
URL = "
http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/Langdon_2016_GPEM.pdf",
-
URL = "
https://discovery.ucl.ac.uk/id/eprint/1508228/",
-
video_url = "https://youtu.be/KVaji1pvd-0",
-
DOI = "
10.1007/s10710-016-9273-9",
- size = "40 pages",
- abstract = "We survey Genetic Improvement (GI) of general purpose computing on graphics cards. We summarise several experiments which demonstrate four themes. Experiments with the gzip program \cite{langdon:2010:cigpu} show that genetic programming (GP) can automatically port sequential C~code to parallel code. Experiments with the StereoCamera program \cite{langdon:2014:EuroGP} show that GI can upgrade legacy parallel code for new hardware and software. Experiments with NiftyReg \cite{Langdon:2014:GECCO} and BarraCUDA \cite{Langdon:2015:GECCO} show that GI can make substantial improvements to current parallel CUDA applications. Finally, experiments with the pknotsRG program \cite{langdon:2015:gi_pknots} show that with semi-automated approaches, enormous speed ups can sometimes be had by growing and grafting new code with genetic programming in combination with human input.",
-
notes = "Electronic supplementary material
https://static-content.springer.com/esm/art%3A10.1007%2Fs10710-016-9273-9/MediaObjects/10710_2016_9273_MOESM1_ESM.gif
Presented in part at COW50: The 50th CREST Open Workshop - Genetic Improvement http://crest.cs.ucl.ac.uk/cow/50/ slides http://crest.cs.ucl.ac.uk/cow/50/slides/cow50_Langdon.pdf videos http://crest.cs.ucl.ac.uk/cow/50/videos/langdon_cow50_480p.mp4 http://crest.cs.ucl.ac.uk/cow/50/videos/langdon_cow50_720p.mp4 https://youtu.be/KVaji1pvd-0
gismo",
