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.
Features:
-Designed so that expert parallel programmers can skip the opening chapters, which introduce parallel programming
to novices, and jump right into the essentialsof OpenMP.
-Presents all the basic OpenMP constructs in FORTRAN, C, and C++.
-Emphasizes practical concepts to address the concerns of real application developers.
-Includes high quality example programs that illustrate concepts of parallel programming as well as all the constructs
of OpenMP.
-Serves as both an effective teaching text and a compact reference.
