NAME¶
PDLACONSB - look for two consecutive small subdiagonal elements by seeing the
effect of starting a double shift QR iteration given by H44, H33, & H43H34
and see if this would make a subdiagonal negligible
SYNOPSIS¶
- SUBROUTINE PDLACONSB(
- A, DESCA, I, L, M, H44, H33, H43H34, BUF, LWORK )
- INTEGER
- I, L, LWORK, M
- DOUBLE
- PRECISION H33, H43H34, H44
- INTEGER
- DESCA( * )
- DOUBLE
- PRECISION A( * ), BUF( * )
PURPOSE¶
PDLACONSB looks for two consecutive small subdiagonal elements by
seeing the effect of starting a double shift QR iteration
given by H44, H33, & H43H34 and see if this would make a
subdiagonal negligible.
Notes
=====
Each global data object is described by an associated description vector. This
vector stores the information required to establish the mapping between an
object element and its corresponding process and memory location.
Let A be a generic term for any 2D block cyclicly distributed array. Such a
global array has an associated description vector DESCA. In the following
comments, the character _ should be read as "of the global array".
NOTATION STORED IN EXPLANATION
--------------- -------------- --------------------------------------
DTYPE_A(global) DESCA( DTYPE_ )The descriptor type. In this case,
DTYPE_A = 1.
CTXT_A (global) DESCA( CTXT_ ) The BLACS context handle, indicating
the BLACS process grid A is distribu-
ted over. The context itself is glo-
bal, but the handle (the integer
value) may vary.
M_A (global) DESCA( M_ ) The number of rows in the global
array A.
N_A (global) DESCA( N_ ) The number of columns in the global
array A.
MB_A (global) DESCA( MB_ ) The blocking factor used to distribute
the rows of the array.
NB_A (global) DESCA( NB_ ) The blocking factor used to distribute
the columns of the array.
RSRC_A (global) DESCA( RSRC_ ) The process row over which the first
row of the array A is distributed. CSRC_A (global) DESCA( CSRC_ ) The process
column over which the
first column of the array A is
distributed.
LLD_A (local) DESCA( LLD_ ) The leading dimension of the local
array. LLD_A >= MAX(1,LOCr(M_A)).
Let K be the number of rows or columns of a distributed matrix, and assume that
its process grid has dimension p x q.
LOCr( K ) denotes the number of elements of K that a process would receive if K
were distributed over the p processes of its process column.
Similarly, LOCc( K ) denotes the number of elements of K that a process would
receive if K were distributed over the q processes of its process row.
The values of LOCr() and LOCc() may be determined via a call to the ScaLAPACK
tool function, NUMROC:
LOCr( M ) = NUMROC( M, MB_A, MYROW, RSRC_A, NPROW ),
LOCc( N ) = NUMROC( N, NB_A, MYCOL, CSRC_A, NPCOL ). An upper bound for these
quantities may be computed by:
LOCr( M ) <= ceil( ceil(M/MB_A)/NPROW )*MB_A
LOCc( N ) <= ceil( ceil(N/NB_A)/NPCOL )*NB_A
ARGUMENTS¶
- A (global input) DOUBLE PRECISION array, dimension
- (DESCA(LLD_),*) On entry, the Hessenberg matrix whose
tridiagonal part is being scanned. Unchanged on exit.
- DESCA (global and local input) INTEGER array of dimension
DLEN_.
- The array descriptor for the distributed matrix A.
- I (global input) INTEGER
- The global location of the bottom of the unreduced
submatrix of A. Unchanged on exit.
- L (global input) INTEGER
- The global location of the top of the unreduced submatrix
of A. Unchanged on exit.
- M (global output) INTEGER
- On exit, this yields the starting location of the QR double
shift. This will satisfy: L <= M <= I-2.
H44 H33 H43H34 (global input) DOUBLE PRECISION These three values are for
the double shift QR iteration.
- BUF (local output) DOUBLE PRECISION array of size
LWORK.
- LWORK (global input) INTEGER
- On exit, LWORK is the size of the work buffer. This must be
at least 7*Ceil( Ceil( (I-L)/HBL ) / LCM(NPROW,NPCOL) ) Here LCM is least
common multiple, and NPROWxNPCOL is the logical grid size.
Logic: ======
Two consecutive small subdiagonal elements will stall convergence of a
double shift if their product is small relatively even if each is not very
small. Thus it is necessary to scan the "tridiagonal portion of the
matrix." In the LAPACK algorithm DLAHQR, a loop of M goes from I-2
down to L and examines
H(m,m),H(m+1,m+1),H(m+1,m),H(m,m+1),H(m-1,m-1),H(m,m-1), and H(m+2,m-1).
Since these elements may be on separate processors, the first major loop
(10) goes over the tridiagonal and has each node store whatever values of
the 7 it has that the node owning H(m,m) does not. This will occur on a
border and can happen in no more than 3 locations per block assuming
square blocks. There are 5 buffers that each node stores these values: a
buffer to send diagonally down and right, a buffer to send up, a buffer to
send left, a buffer to send diagonally up and left and a buffer to send
right. Each of these buffers is actually stored in one buffer BUF where
BUF(ISTR1+1) starts the first buffer, BUF(ISTR2+1) starts the second,
etc.. After the values are stored, if there are any values that a node
needs, they will be sent and received. Then the next major loop passes
over the data and searches for two consecutive small subdiagonals.
Notes:
This routine does a global maximum and must be called by all processes.
Implemented by: G. Henry, November 17, 1996