PCPOTRS(l)
π PCPOTRS π (the l is for LAPACK, bestie)
okay so. sit down. hydrate. we're doing linear algebra and we're doing it together. this is the LAPACK routine page for PCPOTRS, and yeah it's a mouthful but by the end you're gonna be solving systems like it's nothing. no cap.
β¨ NAME β¨
PCPOTRS β she solves a system of linear equations, two ways, both iconic:
sub( A ) * X = sub( B )
A(IA:IA+N-1,JA:JA+N-1)*X = B(IB:IB+N-1,JB:JB+NRHS-1)
that's it. that's the job. π«Ά
πΈ SYNOPSIS πΈ
here's the whole cast list, exactly as it appears on the poster:
SUBROUTINE PCPOTRS( UPLO, N, NRHS, A, IA, JA, DESCA, B, IB, JB, DESCB,
INFO )
CHARACTER UPLO
INTEGER IA, IB, INFO, JA, JB, N, NRHS
INTEGER DESCA( * ), DESCB( * )
COMPLEX A( * ), B( * )
π¦ PURPOSE π¦
PCPOTRS solves a system of linear equations
sub( A ) * X = sub( B )
A(IA:IA+N-1,JA:JA+N-1)*X = B(IB:IB+N-1,JB:JB+NRHS-1)
where sub( A ) means A(IA:IA+N-1,JA:JA+N-1) and is a N-by-N hermitian positive definite distributed matrix, using the Cholesky factorization
sub( A ) = U**H*U or L*L**H
as computed by PCPOTRF. and sub( B ) means the distributed matrix B(IB:IB+N-1,JB:JB+NRHS-1). like, she takes the factorization you already did and she finishes the job. main character energy, honestly. π
π Notes π
every global data object out here 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. iykyk.
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". okay? okay. π
DTYPE_A(global) β stored inDESCA( DTYPE_ )β the descriptor type. in this case,DTYPE_A = 1.CTXT_A(global) β stored inDESCA( CTXT_ )β the BLACS context handle, indicating the BLACS process grid A is distributed over. the context itself is global, but the handle (the integer value) may vary.M_A(global) β stored inDESCA( M_ )β the number of rows in the global arrayA.N_A(global) β stored inDESCA( N_ )β the number of columns in the global arrayA.MB_A(global) β stored inDESCA( MB_ )β the blocking factor used to distribute the rows of the array.NB_A(global) β stored inDESCA( NB_ )β the blocking factor used to distribute the columns of the array.RSRC_A(global) β stored inDESCA( RSRC_ )β the process row over which the first row of the arrayAis distributed.CSRC_A(global) β stored inDESCA( CSRC_ )β the process column over which the first column of the arrayAis distributed.LLD_A(local) β stored inDESCA( LLD_ )β 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 ofKthat a process would receive ifKwere distributed over thepprocesses of its process column.LOCc( K )denotes the number of elements ofKthat a process would receive ifKwere distributed over theqprocesses 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
β οΈ heads up bestie: this routine requires square block decomposition (MB_A = NB_A). not optional. not negotiable. square. π
π ARGUMENTS π
one bullet per argument, all facts intact, let's goooo π
UPLOβ (global input)CHARACTER.= 'U': the Upper triangle ofsub( A )is stored;= 'L': the Lower triangle ofsub( A )is stored.
Nβ (global input)INTEGER. the number of rows and columns to be operated on, i.e. the order of the distributed submatrixsub( A ).N >= 0.NRHSβ (global input)INTEGER. the number of right hand sides, i.e., the number of columns of the distributed submatrixsub( B ).NRHS >= 0.Aβ (local input)COMPLEXpointer into local memory to an array of dimension(LLD_A, LOCc(JA+N-1)). on entry, this array contains the factorsLorUfrom the Cholesky factorizationsub( A ) = L*L**HorU**H*U, as computed byPCPOTRF. π§IAβ (global input)INTEGER. the row index in the global arrayAindicating the first row ofsub( A ).JAβ (global input)INTEGER. the column index in the global arrayAindicating the first column ofsub( A ).DESCAβ (global and local input)INTEGERarray of dimensionDLEN_. the array descriptor for the distributed matrixA.Bβ (local input/local output)COMPLEXpointer into the local memory to an array of local dimension(LLD_B,LOCc(JB+NRHS-1)). on entry, this array contains the local pieces of the right hand sidessub( B ). on exit, this array contains the local pieces of the solution distributed matrixX. the glow-up arc!! she goes in as a right hand side and comes out as a SOLUTION. β¨IBβ (global input)INTEGER. the row index in the global arrayBindicating the first row ofsub( B ).JBβ (global input)INTEGER. the column index in the global arrayBindicating the first column ofsub( B ).DESCBβ (global and local input)INTEGERarray of dimensionDLEN_. the array descriptor for the distributed matrixB.INFOβ (global output)INTEGER. the vibe check, essentially:= 0: successful exit π< 0: if the i-th argument is an array and the j-entry had an illegal value, thenINFO = -(i*100+j); if the i-th argument is a scalar and had an illegal value, thenINFO = -i.
π ngl, INFO coming back negative is not the moment. read the formula, find your culprit, fix your argument, try again. you got this. π
okay that's the whole page, you're officially a ScaLAPACK girlie now, obsessed with you, go solve something π ππ¦
this little love letter to distributed linear algebra is brought to you by LAPACK routine version 1.5, dated 12 May 1997 β and yeah she's been serving since the 90s, periodt. 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