• DocumentCode
    2806471
  • Title

    Multi-core Desktop Processors Make Possible Real-Time Electron Tomography

  • Author

    Agulleiro, J.I. ; Garzón, E.M. ; García, I. ; Fernández, J.J.

  • Author_Institution
    Dept. Comput. Archit. & Electron., Univ. of Almeria, Almería, Spain
  • fYear
    2011
  • fDate
    9-11 Feb. 2011
  • Firstpage
    127
  • Lastpage
    132
  • Abstract
    Electron tomography (ET) allows elucidation of the three-dimensional (3D) structure of large complex biological specimens at molecular resolution. In order to achieve such resolution levels, large projection images have to be used to compute the 3D reconstructions. Tomographic reconstruction on this scale requires a tremendous use of computational resources and considerable processing time. Traditionally, parallel and distributed systems, and more recently GPUs, have been the key to cope with this demanding procedure. This work demonstrates that full exploitation of the impressive processing power within modern multi-core processors make them a feasible alternative. The use of parallel computing, vectorization and code optimization allows ultra-fast tomographic reconstructions on standard computers, even outperforming GPUs. Our results confirm that modern processors succeed in providing reconstructed volumes in very little time, which enables them for real-time ET.
  • Keywords
    biology computing; computerised tomography; image reconstruction; image resolution; microprocessor chips; multi-threading; multiprocessing systems; solid modelling; 3D complex biological specimens; 3D reconstruction; code optimization; molecular resolution; multicore desktop processor; parallel computing; processing power; real-time electron tomography; tomographic reconstruction; vectorization; Image reconstruction; Instruction sets; Multicore processing; Real time systems; Three dimensional displays; Tomography; Electron tomography; multi-core; real-time; vectorization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel, Distributed and Network-Based Processing (PDP), 2011 19th Euromicro International Conference on
  • Conference_Location
    Ayia Napa
  • ISSN
    1066-6192
  • Print_ISBN
    978-1-4244-9682-2
  • Type

    conf

  • DOI
    10.1109/PDP.2011.36
  • Filename
    5738994