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URN: urn:nbn:de:0030-drops-28389
URL: http://drops.dagstuhl.de/opus/volltexte/2010/2838/
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Huthmann, Jens ; Müller, Peter ; Stock, Florian ; Hildenbrand, Dietmar ; Koch, Andreas

Compiling Geometric Algebra Computations into Reconfigurable Hardware Accelerators

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Abstract

Geometric Algebra (GA), a generalization of quaternions and complex numbers, is a very powerful framework for intuitively expressing and manipulating the complex geometric relationships common to engineering problems. However, actual processing of GA expressions is very compute intensive, and acceleration is generally required for practical use. GPUs and FPGAs offer such acceleration, while requiring only low-power per operation. In this paper, we present key components of a proof-of-concept compile flow combining symbolic and hardware optimization techniques to automatically generate hardware accelerators from the abstract GA descriptions that are suitable for high-performance embedded computing.

BibTeX - Entry

@InProceedings{huthmann_et_al:DSP:2010:2838,
  author =	{Jens Huthmann and Peter M{\"u}ller and Florian Stock and Dietmar Hildenbrand and Andreas Koch},
  title =	{{Compiling Geometric Algebra Computations into Reconfigurable  Hardware Accelerators}},
  booktitle =	{Dynamically Reconfigurable Architectures},
  year =	{2010},
  editor =	{Peter M. Athanas and J{\"u}rgen Becker and J{\"u}rgen Teich and Ingrid Verbauwhede},
  number =	{10281},
  series =	{Dagstuhl Seminar Proceedings},
  ISSN =	{1862-4405},
  publisher =	{Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2010/2838},
  annote =	{Keywords: Geometric Algebra FPGA High-Level-Compiler Gaalop}
}

Keywords: Geometric Algebra FPGA High-Level-Compiler Gaalop
Seminar: 10281 - Dynamically Reconfigurable Architectures
Issue Date: 2010
Date of publication: 14.12.2010


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