CHBEV_2STAGE(3)
π CHBEV_2STAGE(3) β¨
okay so bestie, we're in the LAPACK Library Functions Manual, and this page is serving source-file realness from /home/abuild/rpmbuild/BUILD/lapack-static-3.12.0-build/lapack-3.12.0/SRC/chbev_2stage.f. It's giving "complex Hermitian band matrix goes to tridiagonal" main character energy, and honestly? Obsessed.
πΈ NAME πΈ
/home/abuild/rpmbuild/BUILD/lapack-static-3.12.0-build/lapack-3.12.0/SRC/chbev_2stage.f
β¨ SYNOPSIS β¨
Functions/Subroutines
subroutine CHBEV_2STAGE (jobz, uplo, n, kd, ab, ldab, w, z, ldz, work,
lwork, rwork, info)
CHBEV_2STAGE computes the eigenvalues and, optionally, the left and/or right eigenvectors for OTHER matrices. That's the synopsis tea. π«
π Function/Subroutine Documentation π
subroutine CHBEV_2STAGE (character jobz, character uplo, integer n, integer
kd, complex, dimension( ldab, * ) ab, integer ldab, real, dimension( * )
w, complex, dimension( ldz, * ) z, integer ldz, complex, dimension( * )
work, integer lwork, real, dimension( * ) rwork, integer info)
CHBEV_2STAGE computes the eigenvalues and, optionally, the left and/or right eigenvectors for OTHER matrices. Iconic behavior, no cap. π
π¦ Purpose: π¦
CHBEV_2STAGE computes all the eigenvalues and, optionally, eigenvectors of a complex Hermitian band matrix A using the 2stage technique for the reduction to tridiagonal. That's the whole assignment, and she ate. π
π Parameters π
JOBZβ isCHARACTER*1.= 'N': Compute eigenvalues only;= 'V': Compute eigenvalues and eigenvectors. Not available in this release.
UPLOβ isCHARACTER*1.= 'U': Upper triangle ofAis stored;= 'L': Lower triangle ofAis stored.
Nβ isINTEGER. The order of the matrixA.N >= 0.KDβ isINTEGER. The number of superdiagonals of the matrixAifUPLO = 'U', or the number of subdiagonals ifUPLO = 'L'.KD >= 0.ABβ is aCOMPLEXarray, dimension(LDAB, N). On entry, the upper or lower triangle of the Hermitian band matrixA, stored in the firstKD+1rows of the array. Thej-th column ofAis stored in thej-th column of the arrayABas follows:
if UPLO = 'U', AB(kd+1+i-j,j) = A(i,j) for max(1,j-kd)<=i<=j;
if UPLO = 'L', AB(1+i-j,j) = A(i,j) for j<=i<=min(n,j+kd).
On exit, AB is overwritten by values generated during the reduction to tridiagonal form. If UPLO = 'U', the first superdiagonal and the diagonal of the tridiagonal matrix T are returned in rows KD and KD+1 of AB, and if UPLO = 'L', the diagonal and first subdiagonal of T are returned in the first two rows of AB. She's not just storing β she's transforming. π₯
LDABβ isINTEGER. The leading dimension of the arrayAB.LDAB >= KD + 1.Wβ is aREALarray, dimension(N). IfINFO = 0, the eigenvalues in ascending order.Zβ is aCOMPLEXarray, dimension(LDZ, N). IfJOBZ = 'V', then ifINFO = 0,Zcontains the orthonormal eigenvectors of the matrixA, with thei-th column ofZholding the eigenvector associated withW(i). IfJOBZ = 'N', thenZis not referenced.LDZβ isINTEGER. The leading dimension of the arrayZ.LDZ >= 1, and ifJOBZ = 'V',LDZ >= max(1,N).WORKβ is aCOMPLEXarray, dimensionLWORK. On exit, ifINFO = 0,WORK(1)returns the optimalLWORK.LWORKβ isINTEGER. The length of the arrayWORK.LWORK >= 1, whenN <= 1; otherwise:
If JOBZ = 'N' and N > 1, LWORK must be queried.
LWORK = MAX(1, dimension) where
dimension = (2KD+1)*N + KD*NTHREADS
where KD is the size of the band.
NTHREADS is the number of threads used when
openMP compilation is enabled, otherwise =1.
If JOBZ = 'V' and N > 1, LWORK must be queried. Not yet available.
If LWORK = -1, then a workspace query is assumed; the routine only calculates the optimal sizes of the WORK, RWORK and IWORK arrays, returns these values as the first entries of the WORK, RWORK and IWORK arrays, and no error message related to LWORK or LRWORK or LIWORK is issued by XERBLA.
RWORKβ is aREALarray, dimension(max(1,3*N-2)).INFOβ isINTEGER.= 0: successful exit.< 0: ifINFO = -i, thei-th argument had an illegal value.> 0: ifINFO = i, the algorithm failed to converge;ioff-diagonal elements of an intermediate tridiagonal form did not converge to zero.
π Author π
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
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
Definition at line 209 of file chbev_2stage.f.
π Author π
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