Computing Boundary Element Method’s Matrices on GPU

  • Gundolf Haase
  • Martin Schanz
  • Samar Vafai
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7116)


Matrices resulting from standard boundary element methods are dense and computationally expensive. To speed up the computational time, the matrix computation is done on a GPU. The parallel processing capability of the Graphics Processing Unit (GPU) allows us to divide complex computing tasks into several thousands of smaller tasks that can be run concurrently. We achieved an acceleration of 31 − 36 in comparison to a computation performed on the CPU, serially.


Graphic Processing Unit Boundary Element Method Shared Memory Collocation Point Global Memory 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Gundolf Haase
    • 1
  • Martin Schanz
    • 2
  • Samar Vafai
    • 1
  1. 1.Institute of Mathematics and Scientific ComputingUniversity of GrazAustria
  2. 2.Institute of Applied MechanicsGraz University of TechnologyAustria

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