SSYEV_2STAGE(3)
πΈ NAME πΈ
/home/abuild/rpmbuild/BUILD/lapack-static-3.12.0-build/lapack-3.12.0/SRC/ssyev_2stage.f
okay so bestie, this is the file itself β that whole long path is literally the source file this page is documenting (LAPACK's ssyev_2stage.f, if you wanna say it out loud π
). It lives in the LAPACK manual, Library Functions Manual energy, and the header up top is /home/abui...ev_2stage.f(3) β yes the path is truncated with ... in the header, that's just how it is, no cap. π«Ά
π¦ SYNOPSIS π¦
Functions/Subroutines
subroutine SSYEV_2STAGE (jobz, uplo, n, a, lda, w, work, lwork, info)
SSYEV_2STAGE computes the eigenvalues and, optionally, the left and/or right eigenvectors for SY matrices β¨
π Function/Subroutine Documentation π
π the actual signature π
subroutine SSYEV_2STAGE (character jobz, character uplo, integer n, real,
dimension( lda, * ) a, integer lda, real, dimension( * ) w, real,
dimension( * ) work, integer lwork, integer info)
SSYEV_2STAGE computes the eigenvalues and, optionally, the left and/or right eigenvectors for SY matrices π₯ (yes, the synopsis says it twice β iconic of it, honestly, we love a routine that knows its brand π
)
β¨ Purpose β¨
SSYEV_2STAGEcomputes all eigenvalues and, optionally, eigenvectors of a real symmetric matrixAusing the 2stage technique for the reduction to tridiagonal.
so like β eigenvalues, optionally eigenvectors, real symmetric matrix A, and the whole flex is that 2stage technique for the reduction to tridiagonal. that's the main character move here ππ
π Parameters π
JOBZβJOBZisCHARACTER*1. The vibe selector, basically:= 'N': Compute eigenvalues only;= 'V': Compute eigenvalues and eigenvectors. Not available in this release. π (crying, but documented β don't come for me)
UPLOβUPLOisCHARACTER*1. Which triangle ofAis the moment:= 'U': Upper triangle ofAis stored;= 'L': Lower triangle ofAis stored.
NβNisINTEGER. The order of the matrixA.N >= 0. (zero is allowed bestie, don't worry π«Ά)AβAisREAL array, dimension (LDA, N).- On entry, the symmetric matrix
A. 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, if
JOBZ = 'V', then ifINFO = 0,Acontains the orthonormal eigenvectors of the matrixA. - If
JOBZ = 'N', then on exit the lower triangle (ifUPLO='L') or the upper triangle (ifUPLO='U') ofA, including the diagonal, is destroyed. π yeah. that part ofAis GONE. reading is fundamental, so pls don't be surprised when it happens.
- On entry, the symmetric matrix
LDAβLDAisINTEGER. The leading dimension of the arrayA.LDA >= max(1,N). literally just respect the leading dimension bestie, it's not a suggestion πΈWβWisREAL array, dimension (N). IfINFO = 0, the eigenvalues in ascending order. sorted and serving β¨WORKβWORKisREAL array, dimension LWORK. On exit, ifINFO = 0,WORK(1)returns the optimalLWORK. (it's always the first entry spilling the tea about the optimal size π )LWORKβLWORKisINTEGER. The length of the arrayWORK.LWORK >= 1, whenN <= 1;- otherwise: If
JOBZ = 'N'andN > 1,LWORKmust be queried.
LWORK = MAX(1, dimension) where
dimension = max(stage1,stage2) + (KD+1)*N + 2*N
= N*KD + N*max(KD+1,FACTOPTNB)
+ max(2*KD*KD, KD*NTHREADS)
+ (KD+1)*N + 2*N
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 queried. Not yet available. - If
LWORK = -1, then a workspace query is assumed; the routine only calculates the optimal size of theWORKarray, returns this value as the first entry of theWORKarray, and no error message related toLWORKis issued byXERBLA. (the-1is the lil "just checking, don't actually run anything" hack, andXERBLAstays quiet about it β cute of them π)
INFOβINFOisINTEGER. The receipts:= 0: successful exit β slay< 0: ifINFO = -i, thei-th argument had an illegal value π> 0: ifINFO = i, the algorithm failed to converge;ioff-diagonal elements of an intermediate tridiagonal form did not converge to zero. π it tried its best, but those off-diagonals refused to go to zero.
π Author π
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
the whole squad π«Άπ
π₯ 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/10.1145/2063384.2063394 - 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
like, read the papers if you want the full 2stage lore, they're literally right there ππ
Definition at line 181 of file ssyev_2stage.f. π
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β¨ bye bestie, go query your LWORK ππ¦
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