Parallel Programming in OpenMP

This title aims to teach both the novice and the expert parallel programmer how to develop applications using this standard. The authors, who designed and implemented OpenMP while at SGI, bring a depth and breadth to the book as compiler writers, application developers, and performance engineers.

Autorentext

Rohit Chandra is currently a Chief Scientist at NARUS, Inc., a provider of internet business infrastructure solutions. He previously was a Principal Engineer in the Compiler Group of Silicon Graphics, where he helped design and implement OpenMP.

Ramesh Menon is a Staff Engineer at NARUS, Inc. Prior to NARUS, Ramesh was a Staff
Engineer at SGI representing SGI in the OpenMP forum. He was the founding Chairman
of the OpenMP Architecture Review Board (ARB) and supervised the writing of the
first OpenMP specifications. Leonardo Dagum currently works for Silicon Graphics in the Linux Server Platform Group where he is responsible for the I/O infrastructure in SGI's scalable Linux server systems. He helped define the OpenMP Fortran API. His research interests include parallel algorithms and performance modeling for parallel systems.Dave Kohr is currently a member of the Technical Staff at NARUS, Inc. He previously was
a Member of the Technical Staff in the Compiler Group at Silicon Graphics, where he helped
define and implement the OpenMP.Dror Maydan is currently Director of Software at Tensilica, Inc., the provider of application-specific processor technology. He previously was an Engineering Department Manager in the Compiler Group of Silicon Graphics where he helped design and implement OpenMP.Jeffrey McDonald currently owns SolidFX, a private software development company. In the capacity of Engineering Department Manager at Silicon Graphics, he proposed the OpenMP API effort and helped develop it into the industry standard it is today.

Klappentext

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.

• Designed so that expert parallel programmers can skip the opening chapters, which introduce parallel programming to novices, and jump right into the essentials of 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.

• Includes end-of-chapter programming exercises.

  Zusammenfassung
  OpenMP is an industry standard for programming shared-memory and distributed shared-memory multiprocessors. This book teaches the parallel programmers how to program using this standard. It presents the basic OpenMP constructs in FORTRAN, C, and C++. It emphasizes practical concepts to address the concerns of real application developers.

  Inhalt
  Foreword Preface Chapter 1: Introduction Chapter 2 Getting started with OpenMP Chapter 3: Exploiting loop-level parallelism Chapter 4: Beyond loop-level parallelism: Parallel Regions Chapter 5: Synchronization Chapter 6: Performance Glossary References Index