PZGETRS(l)
β¨ PZGETRS β¨
okay bestie, gather round, because this is a LAPACK routine (that's the l manual section, iykyk) and it is so much less scary than it looks. Let's get into it π
πΈ NAME πΈ
PZGETRS β solve a system of distributed linear equations op( sub( A ) ) * X = sub( B ) with a general N-by-N distributed matrix sub( A ) using the LU factorization computed by PZGETRF.
Like. It literally just solves for X. That's the whole gig. Periodt. π
π SYNOPSIS π
SUBROUTINE PZGETRS( TRANS, N, NRHS, A, IA, JA, DESCA, IPIV, B, IB, JB,
DESCB, INFO )
CHARACTER TRANS
INTEGER IA, IB, INFO, JA, JB, N, NRHS
INTEGER DESCA( * ), DESCB( * ), IPIV( * )
COMPLEX*16 A( * ), B( * )
π¦ PURPOSE π¦
PZGETRS solves a system of distributed linear equations. Here sub( A ) denotes A(IA:IA+N-1,JA:JA+N-1), and op( A ) is either A, A**T or A**H. Meanwhile sub( B ) denotes B(IB:IB+N-1,JB:JB+NRHS-1).
π Notes π
Every global data object has an associated description vector bestie. This vector stores all the info you need to figure out the mapping between an object element and its corresponding process and memory location. Slay.
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". No cap.
DTYPE_A(global) β stored inDESCA( DTYPE_ ). The descriptor type. In this case,DTYPE_A = 1.CTXT_A(global) β stored inDESCA( CTXT_ ). The BLACS context handle, indicating the BLACS process gridAis distributed over. The context itself is global, but the handle (the integer value) may vary. It's giving "same energy, different number" honestly.M_A(global) β stored inDESCA( M_ ). The number of rows in the global arrayA.N_A(global) β stored inDESCA( N_ ). The number of columns in the global arrayA.MB_A(global) β stored inDESCA( MB_ ). The blocking factor used to distribute the rows of the array.NB_A(global) β stored inDESCA( NB_ ). The blocking factor used to distribute the columns of the array.RSRC_A(global) β stored inDESCA( RSRC_ ). The process row over which the first row of the arrayAis distributed.CSRC_A(global) β stored inDESCA( CSRC_ ). The process column over which the first column of the arrayAis distributed.LLD_A(local) β stored inDESCA( 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
π heads up bestie: this routine requires square block data decomposition (MB_A=NB_A). Not optional. Do not come for me about it.
π ARGUMENTS π
TRANS(global input)CHARACTERβ Specifies the form of the system of equations, and this is the moment where you pick your vibe:= 'N':sub( A ) * X = sub( B )(No transpose)= 'T':sub( A )**T * X = sub( B )(Transpose)= 'C':sub( A )**H * X = sub( B )(Conjugate transpose)
N(global input)INTEGERβ The number of rows and columns to be operated on, i.e. the order of the distributed submatrixsub( A ).N >= 0. Zero is allowed bestie, we don't judge.NRHS(global input)INTEGERβ The number of right hand sides, i.e., the number of columns of the distributed submatrixsub( B ).NRHS >= 0.A(local input)COMPLEX*16pointer into the local memory to an array of dimension(LLD_A, LOCc(JA+N-1)). On entry, this array contains the local pieces of the factorsLandUfrom the factorizationsub( A ) = P*L*U; the unit diagonal elements ofLare not stored. They're implied, they're the main character, they simply do not need to be written down. πIA(global input)INTEGERβ The row index in the global arrayAindicating the first row ofsub( A ).JA(global input)INTEGERβ The column index in the global arrayAindicating the first column ofsub( A ).DESCA(global and local input)INTEGERarray of dimensionDLEN_. The array descriptor for the distributed matrixA.IPIV(local input)INTEGERarray, dimension( LOCr(M_A)+MB_A ). This array contains the pivoting information.IPIV(i)-> The global row local rowiwas swapped with. This array is tied to the distributed matrixA. They're a package deal, fr fr.B(local input/local output)COMPLEX*16pointer into the local memory to an array of dimension(LLD_B,LOCc(JB+NRHS-1)). On entry, the right hand sidessub( B ). On exit,sub( B )is overwritten by the solution distributed matrixX. She transforms okurrr β¨IB(global input)INTEGERβ The row index in the global arrayBindicating the first row ofsub( B ).JB(global input)INTEGERβ The column index in the global arrayBindicating the first column ofsub( B ).DESCB(global and local input)INTEGERarray of dimensionDLEN_. The array descriptor for the distributed matrixB.INFO(global output)INTEGERβ the vibe check result:= 0:successful exit π< 0:If thei-th argument is an array and thej-entry had an illegal value, thenINFO = -(i*100+j), if thei-th argument is a scalar and had an illegal value, thenINFO = -i.
and that's the whole page bestie!! you understood all of it, I'm so proud, literally obsessed π«Ά
PZGETRS lives in LAPACK version 1.5, and this little love letter was written on 12 May 1997. mwah π
π¦ where this page comes from
- ubuntu jammy: scalapack-doc 1.5-11
- π girlified by deepseek-ai/DeepSeek-V4.1-Flash on : a language model's rewrite of the original, under its terms