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Two-sided orthogonal reductions to condensed forms on asymmetric multicore processors

Author
Alonso, P.; Catalán, S.; Herrero, J.; Quintana, E.; Rodríguez-Sánchez, R.
Type of activity
Journal article
Journal
Parallel computing
Date of publication
2018-10
Volume
78
First page
85
Last page
100
DOI
https://doi.org/10.1016/j.parco.2018.03.005 Open in new window
Project funding
High performance computing VII
Models de Programacio i Entorns d'eXecució PARal.lels
Repository
http://hdl.handle.net/2117/133889 Open in new window
URL
https://www.sciencedirect.com/science/article/pii/S0167819118300784 Open in new window
Abstract
We investigate how to leverage the heterogeneous resources of an Asymmetric Multicore Processor (AMP) in order to deliver high performance in the reduction to condensed forms for the solution of dense eigenvalue and singular-value problems. The routines that realize this type of two-sided orthogonal reductions (TSOR) in LAPACK are especially challenging, since a significant fraction of their floating-point operations are cast in terms of memory-bound kernels while the remaining part corresponds ...
Keywords
Asymmetric multicore processors, Condensed forms, Dense linear algebra, Eigenvalue problems, Heterogeneous computing, Multi-threading, Singular-value problems, Workload balancing
Group of research
CAP - High Performace Computing Group
inLab FIB

Participants

  • Alonso Jordá, Pedro  (author)
  • Catalán Pallarés, Sandra  (author)
  • Herrero Zaragoza, José Ramón  (author)
  • Quintana Ortí, Enrique Salvador  (author)
  • Rodríguez Sánchez, Rafael  (author)