High Productivity Programming of Dense Linear Algebra on Heterogeneous NUMA Architectures

High-end multicore systems with GPU-based accelerators are now ubiquitous in the hardware landscape. Besides dealing with the nontrivial heterogeneous environ- ment, end users should often take into consideration the underlying memory architec- ture to decrease the overhead of data motion, especiall...

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Bibliographic Details
Main Author: Alomairy, Rabab M.
Other Authors: Keyes, David E.
Language:en
Published: 2013
Subjects:
Online Access:Alomairy, R. M. (2013). High Productivity Programming of Dense Linear Algebra on Heterogeneous NUMA Architectures. KAUST Research Repository. https://doi.org/10.25781/KAUST-J256D
http://hdl.handle.net/10754/297194