Conference Presentation (Invited) FZJ-2015-02284

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Enabling Large Scale LAPW DFT Calculations by a Scalable Iterative Eigensolver

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2015

SIAM Conference on Computational Science & Engineering, SIAM CSE 15, Salt Lake CitySalt Lake City, USA, 14 Mar 2015 - 18 Mar 20152015-03-142015-03-18

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Abstract: In LAPW-based methods a sequence of dense generalized eigenvalue problems appears. Traditionally these problems were solved using direct eigensolvers from standard libraries like ScaLAPACK. We developed a subspace iteration method pre-conditioned with Chebyshev polynomials of optimal degree (ChASE). This algorithm is consistently competitive with direct eigensolvers and greatly enhance performance and scalability. ChASE is included in the FLEUR software and improves its scaling behaviour for calculations of large physical systems on modern supercomputers.


Contributing Institute(s):
  1. Jülich Supercomputing Center (JSC)

Appears in the scientific report 2015
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 Record created 2015-03-31, last modified 2022-11-09


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