iparam2stage()

integer function iparam2stage	(	integer	ispec,
		character*( * )	name,
		character*( * )	opts,
		integer	ni,
		integer	nbi,
		integer	ibi,
		integer	nxi )

IPARAM2STAGE

Download IPARAM2STAGE + dependencies [TGZ] [ZIP] [TXT]

Purpose:

!>
!>      This program sets problem and machine dependent parameters
!>      useful for xHETRD_2STAGE, xHETRD_HE2HB, xHETRD_HB2ST,
!>      xGEBRD_2STAGE, xGEBRD_GE2GB, xGEBRD_GB2BD
!>      and related subroutines for eigenvalue problems.
!>      It is called whenever ILAENV is called with 17 <= ISPEC <= 21.
!>      It is called whenever ILAENV2STAGE is called with 1 <= ISPEC <= 5
!>      with a direct conversion ISPEC + 16.
!> 

Parameters

[in]	ISPEC	!> ISPEC is integer scalar !> ISPEC specifies which tunable parameter IPARAM2STAGE should !> return. !> !> ISPEC=17: the optimal blocksize nb for the reduction to !> BAND !> !> ISPEC=18: the optimal blocksize ib for the eigenvectors !> singular vectors update routine !> !> ISPEC=19: The length of the array that store the Housholder !> representation for the second stage !> Band to Tridiagonal or Bidiagonal !> !> ISPEC=20: The workspace needed for the routine in input. !> !> ISPEC=21: For future release. !>
[in]	NAME	!> NAME is character string !> Name of the calling subroutine !>
[in]	OPTS	!> OPTS is CHARACTER*(*) !> The character options to the subroutine NAME, concatenated !> into a single character string. For example, UPLO = 'U', !> TRANS = 'T', and DIAG = 'N' for a triangular routine would !> be specified as OPTS = 'UTN'. !>
[in]	NI	!> NI is INTEGER which is the size of the matrix !>
[in]	NBI	!> NBI is INTEGER which is the used in the reduction, !> (e.g., the size of the band), needed to compute workspace !> and LHOUS2. !>
[in]	IBI	!> IBI is INTEGER which represent the IB of the reduction, !> needed to compute workspace and LHOUS2. !>
[in]	NXI	!> NXI is INTEGER needed in the future release. !>

Author

Univ. of Tennessee

Univ. of California Berkeley

Univ. of Colorado Denver

NAG Ltd.

Further Details:

!>
!>  Implemented by Azzam Haidar.
!>
!>  All detail 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
!>
!>