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GPU-Accelerated and Storage-Efficient Implementation of the QR Decomposition

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Benner,  Peter
Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Köhler,  Martin
Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Penke,  Carolin
Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Benner, P., Köhler, M., & Penke, C. (2018). GPU-Accelerated and Storage-Efficient Implementation of the QR Decomposition. In S. Bassini, M. Danelutto, P. Dazzi, G. R. Joubert, & F. Peters (Eds.), Parallel Computing is Everywhere (pp. 329-338). Amsterdam: IOS Press.


Cite as: https://hdl.handle.net/21.11116/0000-0000-FBED-B
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