PCMAX1(l)
π PCMAX1 β the vibe π
okay bestie, welcome to PCMAX1, a LAPACK auxiliary routine (that's version 1.5, she's an elder but she still eats π
). This page lives in section l, and honestly? She's a little legend. Let's get into it. π¦
β¨ NAME β¨
PCMAX1 β computes the global index of the maximum element in absolute value of a distributed vector sub( X ). That's the whole job. She finds the biggest one and tells you where it is. main character behavior honestly. π
β¨ SYNOPSIS β¨
SUBROUTINE PCMAX1( N, AMAX, INDX, X, IX, JX, DESCX, INCX )
INTEGER INDX, INCX, IX, JX, N
COMPLEX AMAX
INTEGER DESCX( * )
COMPLEX X( * )
Look at her. Eight arguments. No notes. π
β¨ PURPOSE β¨
So PCMAX1 computes the global index of the maximum element in absolute value of a distributed vector sub( X ). The global index comes back in INDX, and the value comes back in AMAX.
And like, where exactly is sub( X )? Depends on INCX, bestie:
X(IX:IX+N-1,JX)ifINCX = 1X(IX,JX:JX+N-1)ifINCX = M_X
That's it. That's the shape of her. π
πΈ Notes πΈ
These notes are not optional, they're the lore. Read them. fr fr.
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".
Here's the whole rundown, one bullet per thing, because we are not doing tables in this house:
DTYPE_A(global), stored inDESCA( DTYPE_ )β The descriptor type. In this case,DTYPE_A = 1.CTXT_A(global), stored inDESCA( CTXT_ )β The BLACS context handle, indicating the BLACS process gridAis distributed over. The context itself is global, but the handle (the integer value) may vary.M_A(global), stored inDESCA( M_ )β The number of rows in the global arrayA.N_A(global), stored inDESCA( N_ )β The number of columns in the global arrayA.MB_A(global), stored inDESCA( MB_ )β The blocking factor used to distribute the rows of the array.NB_A(global), stored inDESCA( NB_ )β The blocking factor used to distribute the columns of the array.RSRC_A(global), stored inDESCA( RSRC_ )β The process row over which the first row of the arrayAis distributed.CSRC_A(global), stored inDESCA( CSRC_ )β The process column over which the first column of the arrayAis distributed.LLD_A(local), 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.- Similarly,
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
Because vectors may be viewed as a subclass of matrices, a distributed vector is considered to be a distributed matrix. (Vectors stay winning. π)
When the result of a vector-oriented PBLAS call is a scalar, it will be made available only within the scope which owns the vector(s) being operated on. Let X be a generic term for the input vector(s). Then, the processes which receive the answer will be (note that if an operation involves more than one vector, the processes which receive the result will be the union of the following calculation for each vector):
- If
N = 1,M_X = 1andINCX = 1, then one can't determine if a process row or process column owns the vector operand, therefore only the process of coordinate{RSRC_X, CSRC_X}receives the result; - If
INCX = M_X, thensub( X )is a vector distributed over a process row. Each process part of this row receives the result; - If
INCX = 1, thensub( X )is a vector distributed over a process column. Each process part of this column receives the result;
Based on PCAMAX from Level 1 PBLAS. The change is to use the
okay yes the sentence stops mid-thought π that is literally what the page says, I am not editing the lore, I'm just the messenger bestie.
The serial version was contributed to LAPACK by Nick Higham for use with CLACON. π«Ά
β¨ ARGUMENTS β¨
Nβ (global input) pointer toINTEGER. The number of components of the distributed vectorsub( X ).N >= 0.AMAXβ (global output) pointer toREAL. The absolute value of the largest entry of the distributed vectorsub( X )only in the scope ofsub( X ).INDXβ (global output) pointer toINTEGER. The global index of the element of the distributed vectorsub( X )whose real part has maximum absolute value.Xβ (local input)COMPLEXarray containing the local pieces of a distributed matrix of dimension of at least
( (JX-1)*M_X + IX + ( N - 1 )*abs( INCX ) )
This array contains the entries of the distributed vector sub( X ).
IXβ (global input)INTEGER. The row index in the global arrayXindicating the first row ofsub( X ).JXβ (global input)INTEGER. The column index in the global arrayXindicating the first column ofsub( X ).DESCXβ (global and local input)INTEGERarray of dimensionDLEN_. The array descriptor for the distributed matrixX.INCXβ (global input)INTEGER. The global increment for the elements ofX. Only two values ofINCXare supported in this version, namely1andM_X.INCXmust not be zero.
π¨ INCX must not be zero. Like, don't. That's a hard no, not a vibe check you get to fail on purpose. π
that's the whole page, bestie β every flag, every formula, every descriptor slot, all present and accounted for. π§
PCMAX1, LAPACK version 1.5, dated 12 May 1997. She's vintage, she's auxiliary, and she absolutely slayed. πβ¨πΈπ¦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