!>
!>      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.
!> 

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.
!> 

NAME

!>          NAME is character string
!>               Name of the calling subroutine
!> 

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'.
!> 

NI

!>          NI is INTEGER which is the size of the matrix
!> 

NBI

!>          NBI is INTEGER which is the used in the reduction,
!>          (e.g., the size of the band), needed to compute workspace
!>          and LHOUS2.
!> 

IBI

!>          IBI is INTEGER which represent the IB of the reduction,
!>          needed to compute workspace and LHOUS2.
!> 

NXI

!>          NXI is INTEGER needed in the future release.
!> 

Univ. of Tennessee

Univ. of California Berkeley

Univ. of Colorado Denver

NAG Ltd.

!>
!>  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
!>
!>