A fast poisson solver for hybrid reconfigurable system

  • Authors:
  • Vitor Gomes;Haroldo Campos Velho;Andrea Charão

  • Affiliations:
  • Laboratory of Computing and Applied Mathematics, Brazilian Institute for Space Research, São José dos Campos, SP, Brazil;Laboratory of Computing and Applied Mathematics, Brazilian Institute for Space Research, São José dos Campos, SP, Brazil;Computer Systems Laboratory, Federal University of Santa Maria, Santa Maria, RS, Brazil

  • Venue:
  • ARC'13 Proceedings of the 9th international conference on Reconfigurable Computing: architectures, tools, and applications
  • Year:
  • 2013

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Abstract

This paper presents the design and implementation of a fast Poisson solver on a reconfigurable hybrid system. Our hybrid solver integrates a FPGA-based FFT coprocessor to collaborate in the solution of a numerical meteorological model involving one-dimensional shallow water equations. The Poisson equation is solved using a singular value decomposition associated with the Moore-Penrose inverse. The hybrid fast Poisson solver is evaluated under different amount of data entry and shows performance gains compared to the reference application.