LAPACK 3.12.0
LAPACK: Linear Algebra PACKage
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subroutine dsb2st_kernels | ( | character | uplo, |
logical | wantz, | ||
integer | ttype, | ||
integer | st, | ||
integer | ed, | ||
integer | sweep, | ||
integer | n, | ||
integer | nb, | ||
integer | ib, | ||
double precision, dimension( lda, * ) | a, | ||
integer | lda, | ||
double precision, dimension( * ) | v, | ||
double precision, dimension( * ) | tau, | ||
integer | ldvt, | ||
double precision, dimension( * ) | work | ||
) |
DSB2ST_KERNELS
Download DSB2ST_KERNELS + dependencies [TGZ] [ZIP] [TXT]
DSB2ST_KERNELS is an internal routine used by the DSYTRD_SB2ST subroutine.
[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 DOUBLE PRECISION array. A pointer to the matrix A. |
[in] | LDA | LDA is INTEGER. The leading dimension of the matrix A. |
[out] | V | V is DOUBLE PRECISION array, dimension 2*n if eigenvalues only are requested or to be queried for vectors. |
[out] | TAU | TAU is DOUBLE PRECISION 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 DOUBLE PRECISION array. Workspace of size nb. |
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 dsb2st_kernels.f.