BEGIN:VCALENDAR
PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
BEGIN:VEVENT
DTSTART:20121114T001500Z
DTEND:20121114T020000Z
LOCATION:East Entrance
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: ELPA is a new efficient distributed parallel direct eigenvalue solver for symmetric matrices. It contains both an improved one-step ScaLAPACK type solver (ELPA1) and the two-step solver ELPA2 [1,2]. ELPA has demonstrated good scalability for large matrices up to 294.000 cores of a BlueGene/P system [3].=0A=0AELPA is especially beneficial when a significant part, but not all eigenvectors are needed. For a quantification of this statement, matrix sizes of 10,000, 20,000, and 50,000 have been solved with ELPA1, ELPA2 and ScaLAPACK routines from Intel MKL 10.3 for real and complex matrices with eigenvector fractions of 10%, 25%, 50% and 100% on 1024 cores of an Intel Sandy Bridge based Linux cluster with FDR10 Infiniband interconnect.=0A=0AResults are presented and discussed.=0A=0A[1] T. Auckenthaler et al, Parallel Computing, Vol. 27, Issue 12, p. 783-794 (2011)=0A=0A[2] http://elpa.rzg.mpg.de=0A=0A[3] R. Johanni et al, in: Technical Report FZJ-JSC-IB-2011-02, p. 27-30, April 2011
SUMMARY:Scalable Direct Eigenvalue Solver ELPA for Symmetric Matrices
PRIORITY:3
END:VEVENT
END:VCALENDAR
BEGIN:VCALENDAR
PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
BEGIN:VEVENT
DTSTART:20121114T001500Z
DTEND:20121114T020000Z
LOCATION:East Entrance
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: ELPA is a new efficient distributed parallel direct eigenvalue solver for symmetric matrices. It contains both an improved one-step ScaLAPACK type solver (ELPA1) and the two-step solver ELPA2 [1,2]. ELPA has demonstrated good scalability for large matrices up to 294.000 cores of a BlueGene/P system [3].=0A=0AELPA is especially beneficial when a significant part, but not all eigenvectors are needed. For a quantification of this statement, matrix sizes of 10,000, 20,000, and 50,000 have been solved with ELPA1, ELPA2 and ScaLAPACK routines from Intel MKL 10.3 for real and complex matrices with eigenvector fractions of 10%, 25%, 50% and 100% on 1024 cores of an Intel Sandy Bridge based Linux cluster with FDR10 Infiniband interconnect.=0A=0AResults are presented and discussed.=0A=0A[1] T. Auckenthaler et al, Parallel Computing, Vol. 27, Issue 12, p. 783-794 (2011)=0A=0A[2] http://elpa.rzg.mpg.de=0A=0A[3] R. Johanni et al, in: Technical Report FZJ-JSC-IB-2011-02, p. 27-30, April 2011
SUMMARY:Scalable Direct Eigenvalue Solver ELPA for Symmetric Matrices
PRIORITY:3
END:VEVENT
END:VCALENDAR