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@ARTICLE{Aliaga:17996,
      author       = {Aliaga, J.I. and Bientinesi, P. and Davidovic, D. and Di
                      Napoli, E. and Igual, F.D. and Quintana-Orti­, E.S.},
      title        = {{S}olving dense generalized eigenproblems on multi-threaded
                      architectures},
      journal      = {Applied mathematics and computation},
      volume       = {218},
      issn         = {0096-3003},
      address      = {New York, NY},
      publisher    = {Elsevier},
      reportid     = {PreJuSER-17996},
      pages        = {11279 - 11289},
      year         = {2012},
      note         = {Record converted from VDB: 12.11.2012},
      abstract     = {We compare two approaches to compute a fraction of the
                      spectrum of dense symmetric definite generalized
                      eigenproblems: one is based on the reduction to tridiagonal
                      form, and the other on the Krylov-subspace iteration. Two
                      large-scale applications, arising in molecular dynamics and
                      material science, are employed to investigate the
                      contributions of the application, architecture, and
                      parallelism of the method to the performance of the solvers.
                      The experimental results on a state-of-the-art 8-core
                      platform, equipped with a graphics processing unit (GPU),
                      reveal that in realistic applications, iterative
                      Krylov-subspace methods can be a competitive approach also
                      for the solution of dense problems. (C) 2012 Elsevier Inc.
                      All rights reserved.},
      keywords     = {J (WoSType)},
      cin          = {JSC},
      ddc          = {510},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {Scientific Computing (FUEK411) / 411 - Computational
                      Science and Mathematical Methods (POF2-411) / Simulation and
                      Data Laboratory Quantum Materials (SDLQM) (SDLQM)},
      pid          = {G:(DE-Juel1)FUEK411 / G:(DE-HGF)POF2-411 /
                      G:(DE-Juel1)SDLQM},
      shelfmark    = {Mathematics, Applied},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000305800700046},
      doi          = {10.1016/j.amc.2012.05.020},
      url          = {https://juser.fz-juelich.de/record/17996},
}