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)

Abstract

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.

Keywords

Graphic Processing Unit Boundary Element Method Shared Memory Collocation Point Global Memory 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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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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