p?unmbr

Developer Reference for Intel® oneAPI Math Kernel Library for C

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ID 766684

Date 3/31/2023

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p?unmbr

Multiplies a general matrix by one of the unitary transformation matrices from a reduction to bidiagonal form determined by p?gebrd.

Syntax

void pcunmbr (char *vect , char *side , char *trans , MKL_INT *m , MKL_INT *n , MKL_INT *k , MKL_Complex8 *a , MKL_INT *ia , MKL_INT *ja , MKL_INT *desca , MKL_Complex8 *tau , MKL_Complex8 *c , MKL_INT *ic , MKL_INT *jc , MKL_INT *descc , MKL_Complex8 *work , MKL_INT *lwork , MKL_INT *info );

void pzunmbr (char *vect , char *side , char *trans , MKL_INT *m , MKL_INT *n , MKL_INT *k , MKL_Complex16 *a , MKL_INT *ia , MKL_INT *ja , MKL_INT *desca , MKL_Complex16 *tau , MKL_Complex16 *c , MKL_INT *ic , MKL_INT *jc , MKL_INT *descc , MKL_Complex16 *work , MKL_INT *lwork , MKL_INT *info );

Include Files

mkl_scalapack.h

Description

If vect = 'Q', the p?unmbr function overwrites the general complex distributed m-by-n matrix sub(C) = C(iс:iс+m-1,jс:jс+n-1) with

	`side` ='L'	`side` ='R'
`trans` = 'N':	`Q`*sub(`C`)	sub(`C`)*`Q`
`trans` = 'C':	`Q`^H*sub(`C`)	sub(`C`)*`Q`^H

If vect = 'P', the function overwrites sub(C) with

	`side` ='L'	`side` ='R'
`trans` = 'N':	`P`*sub(`C`)	sub(`C`)*`P`
`trans` = 'C':	`P`^H*sub(`C`)	sub(`C`)*`P`^H

Here Q and P^H are the unitary distributed matrices determined by p?gebrd when reducing a complex distributed matrix A(ia:*, ja:*) to bidiagonal form: A(ia:*, ja:*) = Q*B*P^H.

Q and P^H are defined as products of elementary reflectors H(i) and G(i) respectively.

Let nq = m if side = 'L' and nq = n if side = 'R'. Therefore nq is the order of the unitary matrix Q or P^H that is applied.

If vect = 'Q', A(ia:*, ja:*) is assumed to have been an nq-by-k matrix:

If nq ≥ k, Q = H(1) H(2)... H(k);

If nq < k, Q = H(1) H(2)... H(nq-1).

If vect = 'P', A(ia:*, ja:*) is assumed to have been a k-by-nq matrix:

If k < nq, P = G(1) G(2)... G(k);

If k ≥ nq, P = G(1) G(2)... G(nq-1).

Input Parameters

vect

(global)

If vect ='Q', then Q or Q^H is applied.

If vect ='P', then P or P^H is applied.

side

(global)

If side ='L', then Q or Q^H, P or P^H is applied from the left.

If side ='R', then Q or Q^H, P or P^H is applied from the right.

trans

(global)

If trans = 'N', no transpose, Q or P is applied.

If trans = 'C', conjugate transpose, Q^H or P^H is applied.

m

(global) The number of rows in the distributed matrix sub (C) m≥0.

n

(global) The number of columns in the distributed matrix sub (C) n≥0.

k

(global)

If vect = 'Q', the number of columns in the original distributed matrix reduced by p?gebrd;

If vect = 'P', the number of rows in the original distributed matrix reduced by p?gebrd.

Constraints: k≥ 0.

a

(local)

Pointer into the local memory to an array of size lld_a * LOCc(ja+min(nq,k)-1) if vect='Q', and lld_a * LOCc(ja+nq-1) if vect = 'P'.

nq = m if side = 'L', and nq = n otherwise.

The vectors that define the elementary reflectors H(i) and G(i), whose products determine the matrices Q and P, as returned by p?gebrd.

If vect = 'Q', lld_a ≥ max(1, LOCr(ia+nq-1));

If vect = 'P', lld_a ≥ max(1, LOCr(ia+min(nq, k)-1)).

ia, ja

(global) The row and column indices in the global matrix A indicating the first row and the first column of the submatrix A, respectively.

desca

(global and local) array of size dlen_. The array descriptor for the distributed matrix A.

tau

(local)

Array of size LOCc(ja+min(nq, k)-1), if vect = 'Q', and LOCr(ia+min(nq, k)-1), if vect = 'P'.

tau[i] must contain the scalar factor of the elementary reflector H(i+1) or G (i+1), which determines Q or P, as returned by p?gebrd in its array argument tauq or taup. tau is tied to the distributed matrix A.

c

(local)

Pointer into the local memory to an array of size lld_c*LOCc(jc+n-1).

Contains the local pieces of the distributed matrix sub (C).

ic, jc

(global) The row and column indices in the global matrix C indicating the first row and the first column of the submatrix C, respectively.

descc

(global and local) array of size dlen_. The array descriptor for the distributed matrix C.

work

(local)

Workspace array of size lwork.

lwork

(local or global) size of work, must be at least:

If side = 'L'

nq = m;

if ((vect = 'Q' and nq ≥ k) or (vect is not equal to 'Q' and nq>k)), iaa= ia; jaa= ja; mi= m; ni= n; icc= ic; jcc= jc;

else

iaa= ia+1; jaa= ja; mi= m-1; ni= n; icc= ic+1; jcc= jc;

end if

else

If side = 'R', nq = n;

if ((vect = 'Q' and nq ≥ k) or (vect is not equal to 'Q' and nq≥k)),

iaa= ia; jaa= ja; mi= m; ni= n; icc= ic; jcc= jc;

else

iaa= ia; jaa= ja+1; mi= m; ni= n-1; icc= ic; jcc= jc+1;

end if

If vect = 'Q',

If side = 'L', lwork ≥ max((nb_a*(nb_a-1))/2, (nqc0+mpc0)*nb_a) + nb_a*nb_a

else if side = 'R',

lwork ≥ max((nb_a*(nb_a-1))/2, (nqc0 + max(npa0+numroc(numroc(ni+icoffc, nb_a, 0, 0, NPCOL), nb_a, 0, 0, lcmq), mpc0))*nb_a) + nb_a*nb_a

end if

else if vect is not equal to 'Q',

if side = 'L',

lwork ≥ max((mb_a*(mb_a-1))/2, (mpc0 + max(mqa0+numroc(numroc(mi+iroffc, mb_a, 0, 0, NPROW), mb_a, 0, 0, lcmp), nqc0))*mb_a) + mb_a*mb_a

else if side = 'R',

lwork ≥ max((mb_a*(mb_a-1))/2, (mpc0 + nqc0)*mb_a) + mb_a*mb_a

end if

where lcmp = lcm/NPROW, lcmq = lcm/NPCOL, with lcm = ilcm(NPROW, NPCOL),

iroffa = mod(iaa-1, mb_a),

icoffa = mod(jaa-1, nb_a),

iarow = indxg2p(iaa, mb_a, MYROW, rsrc_a, NPROW),

iacol = indxg2p(jaa, nb_a, MYCOL, csrc_a, NPCOL),

mqa0 = numroc(mi+icoffa, nb_a, MYCOL, iacol, NPCOL),

npa0 = numroc(ni+iroffa, mb_a, MYROW, iarow, NPROW),

iroffc = mod(icc-1, mb_c),

icoffc = mod(jcc-1, nb_c),

icrow = indxg2p(icc, mb_c, MYROW, rsrc_c, NPROW),

iccol = indxg2p(jcc, nb_c, MYCOL, csrc_c, NPCOL),

mpc0 = numroc(mi+iroffc, mb_c, MYROW, icrow, NPROW),

nqc0 = numroc(ni+icoffc, nb_c, MYCOL, iccol, NPCOL),

NOTE:

mod(x,y) is the integer remainder of x/y.

indxg2p and numroc are ScaLAPACK tool functions; MYROW, MYCOL, NPROW and NPCOL can be determined by calling the function blacs_gridinfo.

If lwork = -1, then lwork is global input and a workspace query is assumed; the function only calculates the minimum and optimal size for all work arrays. Each of these values is returned in the first entry of the corresponding work array, and no error message is issued by pxerbla.

Output Parameters

c

On exit, if vect='Q', sub(C) is overwritten by Q*sub(C), or Q'*sub(C), or sub(C)*Q', or sub(C)*Q; if vect='P', sub(C) is overwritten by P*sub(C), or P'*sub(C), or sub(C)*P, or sub(C)*P'.

work[0]

On exit work[0] contains the minimum value of lwork required for optimum performance.

info

(global)

= 0: the execution is successful.

< 0: if the i-th argument is an array and the j-th entry, indexed j - 1, had an illegal value, then info = -(i*100+j); if the i-th argument is a scalar and had an illegal value, then info = -i.

Parent topic: Singular Value Decomposition: ScaLAPACK Driver Routines

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