English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Conference Paper

GPU-Accelerated Implementation of the Storage-Efficient QR Decomposition

MPS-Authors
/persons/resource/persons86253

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

/persons/resource/persons104608

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

/persons/resource/persons147503

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

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

Penke_paco_2017.pdf
(Publisher version), 265KB

Supplementary Material (public)
There is no public supplementary material available
Citation

Benner, P., Köhler, M., & Penke, C. (2017). GPU-Accelerated Implementation of the Storage-Efficient QR Decomposition. In Book of Abstracts of 2nd Workshop on Power-Aware Computing, Ringberg Castle (pp. 1-6).


Cite as: https://hdl.handle.net/11858/00-001M-0000-002E-7369-8
Abstract
There is no abstract available