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dsb2st_kernels.f(3) LAPACK dsb2st_kernels.f(3)

NAME

dsb2st_kernels.f

SYNOPSIS

Functions/Subroutines


subroutine DSB2ST_KERNELS (uplo, wantz, ttype, st, ed, sweep, n, nb, ib, a, lda, v, tau, ldvt, work)
DSB2ST_KERNELS

Function/Subroutine Documentation

subroutine DSB2ST_KERNELS (character uplo, logical wantz, integer ttype, integer st, integer ed, integer sweep, integer n, integer nb, integer ib, double precision, dimension( lda, * ) a, integer lda, double precision, dimension( * ) v, double precision, dimension( * ) tau, integer ldvt, double precision, dimension( * ) work)

DSB2ST_KERNELS

Purpose:


DSB2ST_KERNELS is an internal routine used by the DSYTRD_SB2ST
subroutine.

Parameters

UPLO


UPLO is CHARACTER*1

WANTZ


WANTZ is LOGICAL which indicate if Eigenvalue are requested or both
Eigenvalue/Eigenvectors.

TTYPE


TTYPE is INTEGER

ST


ST is INTEGER
internal parameter for indices.

ED


ED is INTEGER
internal parameter for indices.

SWEEP


SWEEP is INTEGER
internal parameter for indices.

N


N is INTEGER. The order of the matrix A.

NB


NB is INTEGER. The size of the band.

IB


IB is INTEGER.

A


A is DOUBLE PRECISION array. A pointer to the matrix A.

LDA


LDA is INTEGER. The leading dimension of the matrix A.

V


V is DOUBLE PRECISION array, dimension 2*n if eigenvalues only are
requested or to be queried for vectors.

TAU


TAU is DOUBLE PRECISION array, dimension (2*n).
The scalar factors of the Householder reflectors are stored
in this array.

LDVT


LDVT is INTEGER.

WORK


WORK is DOUBLE PRECISION array. Workspace of size nb.

Further Details:


Implemented by Azzam Haidar.
All details are available on technical report, SC11, SC13 papers.
Azzam Haidar, Hatem Ltaief, and Jack Dongarra.
Parallel reduction to condensed forms for symmetric eigenvalue problems
using aggregated fine-grained and memory-aware kernels. In Proceedings
of 2011 International Conference for High Performance Computing,
Networking, Storage and Analysis (SC '11), New York, NY, USA,
Article 8 , 11 pages.
http://doi.acm.org/10.1145/2063384.2063394
A. Haidar, J. Kurzak, P. Luszczek, 2013.
An improved parallel singular value algorithm and its implementation
for multicore hardware, In Proceedings of 2013 International Conference
for High Performance Computing, Networking, Storage and Analysis (SC '13).
Denver, Colorado, USA, 2013.
Article 90, 12 pages.
http://doi.acm.org/10.1145/2503210.2503292
A. Haidar, R. Solca, S. Tomov, T. Schulthess and J. Dongarra.
A novel hybrid CPU-GPU generalized eigensolver for electronic structure
calculations based on fine-grained memory aware tasks.
International Journal of High Performance Computing Applications.
Volume 28 Issue 2, Pages 196-209, May 2014.
http://hpc.sagepub.com/content/28/2/196

Definition at line 167 of file dsb2st_kernels.f.

Author

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