UCL  IRIS
Institutional Research Information Service
UCL Logo
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 http://www.ucl.ac.uk/finance/research/post_award/post_award_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
Publication Detail
Benchmarking genetically improved BarraCUDA on epigenetic methylation NGS datasets and nVidia GPUs
  • Publication Type:
    Conference
  • Authors:
    Langdon WB, Vilella A, Lam BYH, Petke J, Harman M
  • Publication date:
    20/07/2016
  • Pagination:
    1131, 1132
  • Published proceedings:
    GECCO 2016 Companion - Proceedings of the 2016 Genetic and Evolutionary Computation Conference
  • ISBN-13:
    9781450343237
  • Status:
    Published
  • Name of conference:
    Genetic and Evolutionary Computation Conference (GECCO 2016)
  • Conference place:
    Denver, Colorado
  • Conference start date:
    20/07/2016
  • Conference finish date:
    24/07/2016
Abstract
© 2016 Copyright held by the owner/author(s).BarraCUDA uses CUDA graphics cards to map DNA reads to the human genome. Previously its software source code was genetically improved for short paired end next generation sequences. On longer noisy epigenetics strings using nVidia Titan and twin Tesla K40 the same GI-ed code is more than 3 times faster than bwa-meth on an 8 core CPU.
Publication data is maintained in RPS. Visit https://rps.ucl.ac.uk
 More search options
UCL Researchers
Author
Dept of Computer Science
Author
Dept of Computer Science
Author
Dept of Computer Science
University College London - Gower Street - London - WC1E 6BT Tel:+44 (0)20 7679 2000

© UCL 1999–2011

Search by