Authors:
Rohit Chandra, Ramesh Menon, Leo Dagum, David Kohr, Dror Maydan, Jeff McDonald

The rapid and widespread acceptance of shared-memory multiprocessor architectures
has created a pressing demand for an efficient way to program these systems.
At the same time, developers of technical and scientific applications in industry
and in government laboratories find they need to parallelize huge volumes of code
in a portable fashion. OpenMP, developed jointly by several parallel computing
vendors to address these issues, is an industry-wide standard for programming
shared-memory and distributed shared-memory multiprocessors. It consists of a set
of compiler directives and library routines that extend FORTRAN, C, and C++ codes
to express shared-memory parallelism.

Download File Size:11.7 MB

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