SRC/chetrd_hb2st.F(3)
β¨ SRC/chetrd_hb2st.F β¨
okay bestie, welcome to the LAPACK manual, page 3 π this one is chetrd_hb2st and it's giving very much "let me quietly turn your band matrix into something tridiagonal" energy. no cap.
πΈ NAME πΈ
SRC/chetrd_hb2st.F
π SYNOPSIS π
Functions/Subroutines
subroutine chetrd_hb2st (stage1, vect, uplo, n, kd, ab, ldab, d, e, hous, lhous, work, lwork, info)β CHETRD_HB2ST reduces a complex Hermitian band matrix A to real symmetric tridiagonal form T
π¦ Function/Subroutine Documentation π¦
subroutine chetrd_hb2st (character stage1, character vect, character uplo, integer n, integer kd, complex, dimension( ldab, * ) ab, integer ldab, real, dimension( * ) d, real, dimension( * ) e, complex, dimension( * ) hous, integer lhous, complex, dimension( * ) work, integer lwork, integer info)
CHETRD_HB2ST reduces a complex Hermitian band matrix A to real symmetric tridiagonal form T
π Purpose:
CHETRD_HB2ST reduces a complex Hermitian band matrix A to real symmetric tridiagonal form T by a unitary similarity transformation:
Q**H * A * Q = T.
β¨ Parameters β¨
STAGE1βSTAGE1isCHARACTER*1= 'N': 'No': to mention that the stage 1 of the reduction from dense to band using thechetrd_he2hbroutine was not called before this routine to reproduce AB. In other term this routine is called as standalone.= 'Y': 'Yes': to mention that the stage 1 of the reduction from dense to band using thechetrd_he2hbroutine has been called to produce AB (e.g., AB is the output ofchetrd_he2hb.
VECTβVECTisCHARACTER*1= 'N': No need for the Housholder representation, and thus LHOUS is of sizemax(1, 4*N);= 'V': the Householder representation is needed to either generate or to apply Q later on, then LHOUS is to be queried and computed. (NOT AVAILABLE IN THIS RELEASE).
UPLOβUPLOisCHARACTER*1= 'U': Upper triangle of A is stored;= 'L': Lower triangle of A is stored.
NβNisINTEGER. The order of the matrix A.N >= 0.KDβKDisINTEGER. The number of superdiagonals of the matrix A ifUPLO = 'U', or the number of subdiagonals ifUPLO = 'L'.KD >= 0.ABβABisCOMPLEXarray, dimension(LDAB,N). On entry, the upper or lower triangle of the Hermitian band matrix A, stored in the firstKD+1rows of the array. The j-th column of A is stored in the j-th column of the array AB as 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, the diagonal elements of AB are overwritten by the diagonal elements of the tridiagonal matrix T; if KD > 0, the elements on the first superdiagonal (if UPLO = 'U') or the first subdiagonal (if UPLO = 'L') are overwritten by the off-diagonal elements of T; the rest of AB is overwritten by values generated during the reduction. π«Ά (yes she rewrites in place, that's just her vibe)
LDABβLDABisINTEGER. The leading dimension of the array AB.LDAB >= KD+1.DβDisREALarray, dimension(N). The diagonal elements of the tridiagonal matrix T.EβEisREALarray, dimension(N-1). The off-diagonal elements of the tridiagonal matrix T:E(i) = T(i,i+1)ifUPLO = 'U';E(i) = T(i+1,i)ifUPLO = 'L'.HOUSβHOUSisCOMPLEXarray, dimensionLHOUS, that store the Householder representation.LHOUSβLHOUSisINTEGER. The dimension of the array HOUS.LHOUS = MAX(1, dimension). IfLWORK = -1, orLHOUS=-1, then a query is assumed; the routine only calculates the optimal size of the HOUS array, returns this value as the first entry of the HOUS array, and no error message related to LHOUS is issued by XERBLA.
LHOUS = MAX(1, dimension) where
dimension = 4*N if VECT='N'
not available now if VECT='H'
WORKβWORKisCOMPLEXarray, dimensionLWORK.LWORKβLWORKisINTEGER. The dimension of the array WORK.LWORK = MAX(1, dimension). IfLWORK = -1, orLHOUS=-1, then a workspace query is assumed; the routine only calculates the optimal size of the WORK array, returns this value as the first entry of the WORK array, and no error message related to LWORK is issued by XERBLA.
LWORK = MAX(1, dimension) where
dimension = (2KD+1)*N + KD*NTHREADS
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.
INFOβINFOisINTEGER= 0: successful exit β< 0: ifINFO = -i, the i-th argument had an illegal value π
π Author
- Univ. of Tennessee
- Univ. of California Berkeley
- Univ. of Colorado Denver
- NAG Ltd.
π₯ 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 228 of file chetrd_hb2st.F.
π Author (again, the meta one)
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ngl bestie, she's a lot of parameters but she ate and left no crumbs. read the STAGE1 docs before you call her, fr fr π
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