ZHB2ST_KERNELS(3)

πŸ“¦ version 3.12.0, in opensuse-leap 16.0

πŸ’– ZHB2ST_KERNELS(3) πŸ’–

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✨ NAME ✨

/home/abuild/rpmbuild/BUILD/lapack-static-3.12.0-build/lapack-3.12.0/SRC/zhb2st_kernels.f


🌸 SYNOPSIS 🌸

🧚 Functions/Subroutines 🧚

subroutine ZHB2ST_KERNELS (uplo, wantz, ttype, st, ed, sweep, n, nb, ib,
    a, lda, v, tau, ldvt, work)

ZHB2ST_KERNELS


πŸ› οΈ Function/Subroutine Documentation πŸ› οΈ

Here’s the full signature, character for character, bestie:

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

🎯 Purpose 🎯

ZHB2ST_KERNELS is an internal routine used by the ZHETRD_HB2ST subroutine.

πŸŽ›οΈ Parameters πŸŽ›οΈ

  • UPLO β€” UPLO is CHARACTER*1.
  • WANTZ β€” WANTZ is LOGICAL and indicates if Eigenvalue are requested or both Eigenvalue/Eigenvectors.
  • TTYPE β€” TTYPE is INTEGER.
  • ST β€” ST is INTEGER; an internal parameter for indices.
  • ED β€” ED is INTEGER; an internal parameter for indices.
  • SWEEP β€” SWEEP is INTEGER; an internal parameter for indices.
  • N β€” N is INTEGER. The order of the matrix A.
  • NB β€” NB is INTEGER. The size of the band.
  • IB β€” IB is INTEGER.
  • A β€” A is COMPLEX*16 array. A pointer to the matrix A.
  • LDA β€” LDA is INTEGER. The leading dimension of the matrix A.
  • V β€” V is COMPLEX*16 array, dimension 2*n if eigenvalues only are requested or to be queried for vectors.
  • TAU β€” TAU is COMPLEX*16 array, dimension (2*n). The scalar factors of the Householder reflectors are stored in this array.
  • LDVT β€” LDVT is INTEGER.
  • WORK β€” WORK is COMPLEX*16 array. Workspace of size nb.

πŸ”Ž Further Details πŸ”Ž

  • 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 169 of file zhb2st_kernels.f.


πŸ‘‘ Author πŸ‘‘

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