Price-performance aspects of accelerating the FDTD method using the vector processing programming paradigm on GPU and multi-core clusters

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Price-performance aspects of accelerating the FDTD method using the vector processing programming paradigm on GPU and multi-core clusters

© 2014 ACES The parallelization of the FDTD on GPUs has become popular due to the low cost, low power and high compute performance achieved with these devices. In recent years, manufacturers of multi-core processors have enhanced the vector processing capability inherent in conventional processing c...

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Bibliographic Details
Main Authors:	Ilgner, R., Davidson, David
Format:	Journal Article
Published:	2014
Online Access:	http://hdl.handle.net/20.500.11937/73363

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