Please report any queries concerning the funding data grouped in the sections named "Externally Awarded" or "Internally Disbursed" (shown on the profile page) to
your Research Finance Administrator. Your can find your Research Finance Administrator at https://www.ucl.ac.uk/finance/research/rs-contacts.php by entering your department
Please report any queries concerning the student data shown on the profile page to:
Email: portico-services@ucl.ac.uk
Help Desk: http://www.ucl.ac.uk/ras/portico/helpdesk
Email: portico-services@ucl.ac.uk
Help Desk: http://www.ucl.ac.uk/ras/portico/helpdesk
Publication Detail
Improved CUDA 3D Medical Image Registration
-
Publication Type:Other
-
Authors:Langdon WB
-
Publication date:2014
-
Editors:Giles M,Kelly P,McIntosh-Smith S,Pullan G,Spiga F,Thomas D
-
Addresses:Cambridge
-
Notes:keywords: genetic algorithms, genetic programming, SBSE, GPGPU, NiftyReg size: 1 page notes: http://www.many-core.group.cam.ac.uk/ukmac2014/ One page summary of \citeLangdon:2014:GECCO but emphasis on result rather than GP.
Abstract
A combination of manual and genetic improvement (GI) can optimise a critical component of NiftyReg healthcare industry software across a diverse range of six nVidia graphics processing units (GPUs). The improved K20c kernel gives a speed up >2000 fold compared to released code on a 3GHz CPU
› More search options
UCL Researchers