Fast tomographic reconstruction on parallel hardware

Gábor Takács, Zoltán Horváth, Gábor Veres

Research output: Contribution to journalConference article


Tomographic reconstruction is the mathematical procedure of approximating a function f, based on the integrals of f along a set of line sections. The need for fast tomographic reconstruction arises for example in the challenging problem of real time control of some plasma parameters in a fusion reactor. In this paper, we present a fast algorithm for tomographic reconstruction. A good property of our approach is that it fits well to hardware with two levels of parallelism (e.g. a GPU cluster). We also propose an objective evaluation method for measuring the quality of reconstruction on real datasets where f is unknown. We will demonstrate that our algorithm is able to perform more than 50 000 reconstructions per second at reasonably good quality, running on a relatively cheap hardware.

Original languageEnglish
Pages (from-to)1793-1796
Number of pages4
JournalAIP Conference Proceedings
Publication statusPublished - Dec 1 2010
EventInternational Conference on Numerical Analysis and Applied Mathematics 2010, ICNAAM-2010 - Rhodes, Greece
Duration: Sep 19 2010Sep 25 2010


  • parallelization
  • tokamak
  • tomography

ASJC Scopus subject areas

  • Physics and Astronomy(all)

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