MAGMA embedded: Towards a dense linear algebra library for energy efficient extreme computing

Abstract

Embedded computing, not only in large systems like drones and hybrid vehicles, but also in small portable devices like smart phones and watches, gets more extreme to meet ever increasing demands for extended and improved functionalities. This, combined with the typical constrains for low power consumption and small sizes, makes the design of numerical… (More)
DOI: 10.1109/HPEC.2015.7322444

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Cite this paper

@article{Haidar2015MAGMAET, title={MAGMA embedded: Towards a dense linear algebra library for energy efficient extreme computing}, author={Azzam Haidar and Stanimire Tomov and Piotr Luszczek and Jack J. Dongarra}, journal={2015 IEEE High Performance Extreme Computing Conference (HPEC)}, year={2015}, pages={1-6} }