zhb2st_kernels()

subroutine zhb2st_kernels	(	character	uplo,
		logical	wantz,
		integer	ttype,
		integer	st,
		integer	ed,
		integer	sweep,
		integer	n,
		integer	nb,
		integer	ib,
		complex*16, dimension( lda, * )	a,
		integer	lda,
		complex*16, dimension( * )	v,
		complex*16, dimension( * )	tau,
		integer	ldvt,
		complex*16, dimension( * )	work )

ZHB2ST_KERNELS

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Purpose:

!>
!> ZHB2ST_KERNELS is an internal routine used by the ZHETRD_HB2ST
!> subroutine.
!> 

Parameters

[in]	UPLO	!> UPLO is CHARACTER*1 !>
[in]	WANTZ	!> WANTZ is LOGICAL which indicate if Eigenvalue are requested or both !> Eigenvalue/Eigenvectors. !>
[in]	TTYPE	!> TTYPE is INTEGER !>
[in]	ST	!> ST is INTEGER !> internal parameter for indices. !>
[in]	ED	!> ED is INTEGER !> internal parameter for indices. !>
[in]	SWEEP	!> SWEEP is INTEGER !> internal parameter for indices. !>
[in]	N	!> N is INTEGER. The order of the matrix A. !>
[in]	NB	!> NB is INTEGER. The size of the band. !>
[in]	IB	!> IB is INTEGER. !>
[in,out]	A	!> A is COMPLEX*16 array. A pointer to the matrix A. !>
[in]	LDA	!> LDA is INTEGER. The leading dimension of the matrix A. !>
[out]	V	!> V is COMPLEX*16 array, dimension 2*n if eigenvalues only are !> requested or to be queried for vectors. !>
[out]	TAU	!> TAU is COMPLEX*16 array, dimension (2*n). !> The scalar factors of the Householder reflectors are stored !> in this array. !>
[in]	LDVT	!> LDVT is INTEGER. !>
[out]	WORK	!> WORK is COMPLEX*16 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
!>
!>