/home/abui...d_2stage.f(3)
NAME π
okay so this page is /home/abui...d_2stage.f(3) from the Library Functions Manual, and the NAME is literally this source file path:
/home/abuild/rpmbuild/BUILD/lapack-static-3.12.0-build/lapack-3.12.0/SRC/dsyevd_2stage.f
SYNOPSIS π
Functions/Subroutines π§
subroutine DSYEVD_2STAGE (jobz, uplo, n, a, lda, w, work, lwork, iwork,
liwork, info)
DSYEVD_2STAGE computes the eigenvalues and, optionally, the left
and/or right eigenvectors for SY matrices
Function/Subroutine Documentation π οΈ
The icon itself, no cap:
subroutine DSYEVD_2STAGE (character jobz, character uplo, integer n, double
precision, dimension( lda, * ) a, integer lda, double precision,
dimension( * ) w, double precision, dimension( * ) work, integer lwork,
integer, dimension( * ) iwork, integer liwork, integer info)
DSYEVD_2STAGE computes the eigenvalues and, optionally, the left and/or right eigenvectors for SY matrices.
Purpose π‘
okay bestie, the whole point: DSYEVD_2STAGE computes all eigenvalues and, optionally, eigenvectors of a real symmetric matrix A using the 2stage technique for the reduction to tridiagonal. If eigenvectors are desired, it uses a divide and conquer algorithm. That's the purpose, and it ate. β¨
Parameters π
JOBZβJOBZisCHARACTER*1.= 'N': compute eigenvalues only.= 'V': compute eigenvalues and eigenvectors. Not available in this release.
UPLOβUPLOisCHARACTER*1.= 'U': upper triangle ofAis stored.= 'L': lower triangle ofAis stored.
NβNisINTEGER. The order of the matrixA.N >= 0.AβAisDOUBLE PRECISIONarray, dimension(LDA, N). On entry, the symmetric matrixA. IfUPLO = 'U', the leadingN-by-Nupper triangular part ofAcontains the upper triangular part of the matrixA. IfUPLO = 'L', the leadingN-by-Nlower triangular part ofAcontains the lower triangular part of the matrixA. On exit, ifJOBZ = 'V', then ifINFO = 0,Acontains the orthonormal eigenvectors of the matrixA. IfJOBZ = 'N', then on exit the lower triangle (ifUPLO='L') or the upper triangle (ifUPLO='U') ofA, including the diagonal, is destroyed.
Vibe check: withJOBZ = 'N', that triangle ofAis literally gone, diagonal included. π
LDAβLDAisINTEGER. The leading dimension of the arrayA.LDA >= max(1,N).WβWisDOUBLE PRECISIONarray, dimension(N). IfINFO = 0, the eigenvalues in ascending order.WORKβWORKisDOUBLE PRECISIONarray, dimension(LWORK). On exit, ifINFO = 0,WORK(1)returns the optimalLWORK.LWORKβLWORKisINTEGER. The dimension of the arrayWORK.- If
N <= 1,LWORKmust be at least1. - If
JOBZ = 'N'andN > 1,LWORKmust be queried.
- If
LWORK = MAX(1, dimension) where
dimension = max(stage1,stage2) + (KD+1)*N + 2*N+1
= N*KD + N*max(KD+1,FACTOPTNB)
+ max(2*KD*KD, KD*NTHREADS)
+ (KD+1)*N + 2*N+1
where KD is the blocking size of the reduction, FACTOPTNB is the blocking used by the QR or LQ algorithm, usually FACTOPTNB=128 is a good choice, NTHREADS is the number of threads used when openMP compilation is enabled, otherwise =1.
- If
JOBZ = 'V'andN > 1,LWORKmust be at least1 + 6*N + 2*N**2. - If
LWORK = -1, then a workspace query is assumed; the routine only calculates the optimal sizes of theWORKandIWORKarrays, returns these values as the first entries of theWORKandIWORKarrays, and no error message related toLWORKorLIWORKis issued byXERBLA.
IWORKβIWORKisINTEGERarray, dimension(MAX(1,LIWORK)). On exit, ifINFO = 0,IWORK(1)returns the optimalLIWORK.LIWORKβLIWORKisINTEGER. The dimension of the arrayIWORK.- If
N <= 1,LIWORKmust be at least1. - If
JOBZ = 'N'andN > 1,LIWORKmust be at least1. - If
JOBZ = 'V'andN > 1,LIWORKmust be at least3 + 5*N. - If
LIWORK = -1, then a workspace query is assumed; the routine only calculates the optimal sizes of theWORKandIWORKarrays, returns these values as the first entries of theWORKandIWORKarrays, and no error message related toLWORKorLIWORKis issued byXERBLA.
- If
INFOβINFOisINTEGER.= 0: successful exit.< 0: ifINFO = -i, thei-th argument had an illegal value.> 0: ifINFO = iandJOBZ = 'N', then the algorithm failed to converge;ioff-diagonal elements of an intermediate tridiagonal form did not converge to zero; ifINFO = iandJOBZ = 'V', then the algorithm failed to compute an eigenvalue while working on the submatrix lying in rows and columnsINFO/(N+1)throughmod(INFO,N+1).
Author π
Univ. of TennesseeUniv. of California BerkeleyUniv. of Colorado DenverNAG Ltd.
Contributors π
Jeff Rutter, Computer Science Division, University of California at Berkeley, USAModified by Francoise Tisseur, University of TennesseeModified description of INFO. Sven, 16 Feb 05.
Further Details π
All details about the 2stage techniques are available in:
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/10.1145/2063384.2063394A. 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/10.1145/2503210.2503292A. 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 219 of file dsyevd_2stage.f.
Author π€
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