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SAMOS
2010
Springer

Accelerating high-level engineering computations by automatic compilation of Geometric Algebra to hardware accelerators

9 years 5 months ago
Accelerating high-level engineering computations by automatic compilation of Geometric Algebra to hardware accelerators
Abstract—Geometric Algebra (GA), a generalization of quaternions, is a very powerful form for intuitively expressing and manipulating complex geometric relationships common to engineering problems. The actual evaluation of GA expressions, though, is extremely compute intensive due to the high-dimensionality of data being processed. On standard desktop CPUs, GA evaluations take considerably longer than conventional mathematical formulations. GPUs do offer sufficient throughput to make the use of concise GA formulations practical, but require power far exceeding the budgets for most embedded applications. While the suitability of low-power reconfigurable accelerators for evaluating specific GA computations has already been demonstrated, these often required a significant manual design effort. We present a proof-of-concept compile flow combining symbolic and hardware optimization techniques to automatically generate tors from the abstract GA descriptions without user intervention t...
Jens Huthmann, Peter Muller, Florian Stock, Dietma
Added 30 Jan 2011
Updated 30 Jan 2011
Type Journal
Year 2010
Where SAMOS
Authors Jens Huthmann, Peter Muller, Florian Stock, Dietmar Hildenbrand, Andreas Koch
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