Intel® oneAPI

Math Kernel Library

implements

the PBLAS (Parallel Basic Linear Algebra Subprograms) routines from the ScaLAPACK package for distributed-memory architecture. PBLAS is intended for using in vector-vector, matrix-vector, and matrix-matrix operations to simplify the parallelization of linear codes. The design of PBLAS is as consistent as possible with that of the BLAS. The routine descriptions are arranged in several sections according to the PBLAS level of operation:

Each section presents the routine and function group descriptions in alphabetical order by the routine group name; for example, the

p?asum

group, the

p?axpy

group. The question mark in the group name corresponds to a character indicating the data type (

s

,

d

,

c

, and

z

or their combination); see

Routine Naming Conventions

.

Generally, PBLAS runs on a network of computers using MPI as a message-passing layer and a set of prebuilt communication subprograms (BLACS), as well as a set of PBLAS optimized for the target architecture. The

Intel® oneAPI Math Kernel Library

version of PBLAS is optimized for Intel® processors. For the detailed system and environment requirements see

Intel® oneAPI Math Kernel Library

Release Notes

and

Intel® oneAPI Math Kernel Library

Developer Guide

.

For full reference on PBLAS routines and related information, see http://www.netlib.org/scalapack/html/pblas_qref.html.