- author = "William B. Langdon and Marc Modat and Justyna Petke and Mark Harman",
- title = "Improving {3D} Medical Image Registration {CUDA} Software with Genetic Programming",
- booktitle = "GECCO '14: Proceeding of the sixteenth annual conference on genetic and evolutionary computation conference",
- year = "2014",
- editor = "Christian Igel and Dirk V. Arnold and Christian Gagne and Elena Popovici and Anne Auger and Jaume Bacardit and Dimo Brockhoff and Stefano Cagnoni and Kalyanmoy Deb and Benjamin Doerr and James Foster and Tobias Glasmachers and Emma Hart and Malcolm I. Heywood and Hitoshi Iba and Christian Jacob and Thomas Jansen and Yaochu Jin and Marouane Kessentini and Joshua D. Knowles and William B. Langdon and Pedro Larranaga and Sean Luke and Gabriel Luque and John A. W. McCall and Marco A. {Montes de Oca} and Alison Motsinger-Reif and Yew Soon Ong and Michael Palmer and Konstantinos E. Parsopoulos and Guenther Raidl and Sebastian Risi and Guenther Ruhe and Tom Schaul and Thomas Schmickl and Bernhard Sendhoff and Kenneth O. Stanley and Thomas Stuetzle and Dirk Thierens and Julian Togelius and Carsten Witt and Christine Zarges",
- pages = "951--958",
- organisation = "SIGEVO",
- address = "Vancouver, BC, Canada",
- publisher = "ACM",
- publisher_address = "New York, NY, USA",
- keywords = "genetic algorithms, genetic programming, Genetic Improvement, SBSE, GPGPU, Medicine, Software engineering, Artificial Intelligence, Automatic Programming, Software Engineering",
- month = "12-15 " # jul,
- isbn13 = "978-1-4503-2662-9",
-
URL = "
http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/Langdon_2014_GECCO.pdf",
-
URL = "
http://doi.acm.org/10.1145/2576768.2598244",
-
DOI = "
doi:10.1145/2576768.2598244",
-
code_url = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/gp-code/niftycuda.tar.gz",
- abstract = "Genetic Improvement (GI) is shown to optimise, in some cases by more than 35percent, a critical component of healthcare industry software across a diverse range of six nVidia graphics processing units (GPUs). GP and other search based software engineering techniques can automatically optimise the current rate limiting CUDA parallel function in the NiftyReg open source C++ project used to align or register high resolution nuclear magnetic resonance NMRI and other diagnostic NIfTI images. Future Neurosurgery techniques will require hardware acceleration, such as GPGPU, to enable real time comparison of three dimensional in theatre images with earlier patient images and reference data. With millimetre resolution brain scan measurements comprising more than ten million voxels the modified kernel can process in excess of 3 billion active voxels per second.",
-
notes = "
Code http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/gp-code/niftycuda.tar.gz One page summary in \cite{Langdon:2014:ukmac}. Also known as \cite{2598244} Cited by \cite{Langdon:2016:GPEM}
GECCO-2014 A joint meeting of the twenty third international conference on genetic algorithms (ICGA-2014) and the nineteenth annual genetic programming conference (GP-2014)",
