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NAMEssb2st_kernels.fSYNOPSISFunctions/Subroutinessubroutine ssb2st_kernels (UPLO, WANTZ, TTYPE, ST, ED, SWEEP, N, NB, IB, A, LDA, V, TAU, LDVT, WORK) SSB2ST_KERNELS Function/Subroutine Documentationsubroutine ssb2st_kernels (character UPLO, logical WANTZ, integer TTYPE, integer ST, integer ED, integer SWEEP, integer N, integer NB, integer IB, real, dimension( lda, * ) A, integer LDA, real, dimension( * ) V, real, dimension( * ) TAU, integer LDVT, real, dimension( * ) WORK)SSB2ST_KERNELSPurpose: SSB2ST_KERNELS is an internal routine used by the SSYTRD_SB2ST subroutine. Parameters UPLO
UPLO is CHARACTER*1 WANTZ WANTZ is LOGICAL which indicate if Eigenvalue are requested or both Eigenvalue/Eigenvectors. TTYPE TTYPE is INTEGER ST ST is INTEGER internal parameter for indices. ED ED is INTEGER internal parameter for indices. SWEEP SWEEP is INTEGER internal parameter for indices. N N is INTEGER. The order of the matrix A. NB NB is INTEGER. The size of the band. IB IB is INTEGER. A A is REAL array. A pointer to the matrix A. LDA LDA is INTEGER. The leading dimension of the matrix A. V V is REAL array, dimension 2*n if eigenvalues only are requested or to be queried for vectors. TAU TAU is REAL array, dimension (2*n). The scalar factors of the Householder reflectors are stored in this array. LDVT LDVT is INTEGER. WORK WORK is REAL 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 Definition at line 168 of file ssb2st_kernels.f. AuthorGenerated automatically by Doxygen for LAPACK from the source code.
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