About: Image segmentation using CUDA implementations of the Runge-Kutta-Merson and GMRES methods     Goto   Sponge   Distinct   Permalink

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Description
  • Modern GPUs are well suited for performing image processing tasks. We utilize their high computational performance and memory bandwidth for image segmentation purposes. We segment cardiac MRI data by means of numerical solution of an anisotropic partial differential equation of the Allen-Cahn type. We implement two different algorithms for solving the equation on the CUDA architecture. One of them is based on the Runge-Kutta-Merson method for the approximation of solutions of ordinary differential equations, the other uses the GMRES method for the numerical solution of systems of linear equations. In our experiments, the CUDA implementations of both algorithms are about 3--9 times faster than corresponding 12-threaded OpenMP implementations.
  • Modern GPUs are well suited for performing image processing tasks. We utilize their high computational performance and memory bandwidth for image segmentation purposes. We segment cardiac MRI data by means of numerical solution of an anisotropic partial differential equation of the Allen-Cahn type. We implement two different algorithms for solving the equation on the CUDA architecture. One of them is based on the Runge-Kutta-Merson method for the approximation of solutions of ordinary differential equations, the other uses the GMRES method for the numerical solution of systems of linear equations. In our experiments, the CUDA implementations of both algorithms are about 3--9 times faster than corresponding 12-threaded OpenMP implementations. (en)
Title
  • Image segmentation using CUDA implementations of the Runge-Kutta-Merson and GMRES methods
  • Image segmentation using CUDA implementations of the Runge-Kutta-Merson and GMRES methods (en)
skos:prefLabel
  • Image segmentation using CUDA implementations of the Runge-Kutta-Merson and GMRES methods
  • Image segmentation using CUDA implementations of the Runge-Kutta-Merson and GMRES methods (en)
skos:notation
  • RIV/68407700:21340/11:00189320!RIV12-MSM-21340___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S, Z(MSM6840770010)
http://linked.open...iv/cisloPeriodika
  • 3
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 203558
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21340/11:00189320
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • CUDA; image segmentation; Allen-Cahn equation; Runge-Kutta-Merson; GMRES (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • JP - Japonsko
http://linked.open...ontrolniKodProRIV
  • [808627CE038A]
http://linked.open...i/riv/nazevZdroje
  • Journal of Math-for-Industry
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 2011
http://linked.open...iv/tvurceVysledku
  • Oberhuber, Tomáš
  • Suzuki, A.
  • Žabka, Vítězslav
  • Vacata, J.
http://linked.open...n/vavai/riv/zamer
issn
  • 1884-4774
number of pages
http://localhost/t...ganizacniJednotka
  • 21340
is http://linked.open...avai/riv/vysledek of
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