Scroll to navigation

ssb2st_kernels.f(3) LAPACK ssb2st_kernels.f(3)

NAME

ssb2st_kernels.f

SYNOPSIS

Functions/Subroutines


subroutine SSB2ST_KERNELS (uplo, wantz, ttype, st, ed, sweep, n, nb, ib, a, lda, v, tau, ldvt, work)
SSB2ST_KERNELS

Function/Subroutine Documentation

subroutine SSB2ST_KERNELS (character uplo, logical wantz, integer ttype, integer st, integer ed, integer sweep, integer n, integer nb, integer ib, real, dimension( lda, * ) a, integer lda, real, dimension( * ) v, real, dimension( * ) tau, integer ldvt, real, dimension( * ) work)

SSB2ST_KERNELS

Purpose:


SSB2ST_KERNELS is an internal routine used by the SSYTRD_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 REAL array. A pointer to the matrix A.

LDA


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

V


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

TAU


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

LDVT


LDVT is INTEGER.

WORK


WORK is REAL array. Workspace of size nb.

n The order of the matrix A.

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 170 of file ssb2st_kernels.f.

Author

Generated automatically by Doxygen for LAPACK from the source code.

Mon Mar 11 2024 11:42:31 Version 3.9.0