Developer Reference

Contents

PBLAS Routines

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
.
PBLAS routines are provided only with
Intel® oneAPI Math Kernel Library
versions for Linux* and Windows* OSs.
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.
Product and Performance Information
Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.
Notice revision #20201201

Product and Performance Information

1

Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.