% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@INPROCEEDINGS{DiNapoli:825383,
      author       = {Di Napoli, Edoardo and Winkelmann, Jan},
      title        = {{T}owards {A}utomated {L}oad {B}alancing via {S}pectrum
                      {S}licing for {FEAST}-like solvers},
      reportid     = {FZJ-2016-07846},
      year         = {2016},
      abstract     = {Subspace iteration algorithms accelerated by rational
                      filtering, such as FEAST, have recently re-emerged as a
                      research topic in solving for interior eigenvalue problems.
                      FEAST-like solvers are Rayleigh-Ritz solvers with rational
                      filter functions, and as a result require
                      re-orthogonalization on long vectors only in rare cases.
                      Application of the filter functions, the computationally
                      most expensive part, offers three levels of parallelism: 1)
                      multiple spectral slices, 2) multiple linear system solves
                      per slice, and 3) multiple right-hand sides per system
                      solves. While the second and third level of parallelism are
                      currently exploited, the first level is often difficult to
                      efficiently realize.An efficient algorithmic procedure to
                      load-balance multiple independent spectral slices is not yet
                      available. Currently, existing solvers must rely on the
                      user's prior knowledge. An automatic procedure to split a
                      user specific interval into multiple load-balanced slices
                      would greatly improve the state of the art. We outline how,
                      both the algorithmic selection of filter functions and the
                      spectral slices, can be at the center of load-balancing
                      issues. Additionally, we present the tools and heuristics
                      developed in an effort to tackle the problems.},
      month         = {Nov},
      date          = {2016-11-30},
      organization  = {Joint Laboratory for Extreme Scale
                       Computing, Kobe (Japan), 30 Nov 2016 -
                       2 Dec 2016},
      subtyp        = {After Call},
      cin          = {JSC / JARA-HPC},
      cid          = {I:(DE-Juel1)JSC-20090406 / $I:(DE-82)080012_20140620$},
      pnm          = {511 - Computational Science and Mathematical Methods
                      (POF3-511) / Simulation and Data Laboratory Quantum
                      Materials (SDLQM) (SDLQM)},
      pid          = {G:(DE-HGF)POF3-511 / G:(DE-Juel1)SDLQM},
      typ          = {PUB:(DE-HGF)6},
      url          = {https://juser.fz-juelich.de/record/825383},
}