By
Rohit Chandra, NARUS, Inc.
Ramesh Menon, NARUS, Inc.
Leo Dagum, Silicon Graphics
David Kohr, NARUS, Inc.
Dror Maydan, Tensilica, Inc.
Jeff McDonald, SolidFX
Description
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.
Parallel Programming in OpenMP is the first book to teach both the novice and expert parallel programmers how to program
using this new standard. The authors, who helped design and implement OpenMP while at SGI, bring a depth and breadth to the book as compiler
writers, application developers, and performance engineers.
