Parallel Programming : Techniques and Applications Using Networked Workstations and Parallel Computers

Allen, Michael, Wilkinson, Barry

ISBN 10: 0131405632 / ISBN 13: 9780131405639

Edité par Pearson Education, 2004

Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects. N° de réf. du vendeur 11953824-6

Synopsis :

Designed for undergraduate/graduate-level parallel programming courses.

This nontheoretical, highly accessible text―which is linked to real parallel programming software―covers the techniques of parallel programming in a practical manner that enables students to write and evaluate their parallel programs. Supported by the National Science Foundation and exhaustively class-tested, it is the first text of its kind that does not require access to a special multiprocessor system, concentrating instead only on parallel programs that can be executed on networked workstations using freely available parallel software tools. The Second Edition has been revised to incorporate a greater focus on cluster programming as this type of programming has become more widespread with the availability of low-cost computers.

Quatrième de couverture:

67171-9

Designed for an undergraduate computer science student or professional, this accessible text covers the techniques of parallel programming in a practical manner that enables students to write and evaluate their parallel programs. Supported by the National Science Foundation and exhaustively class-tested, it is the first text of its kind that does not require access to a special multiprocessor system, concentrating instead on parallel programs that can be executed on networked workstations using freely available parallel software tools.

Key Features:

• Introduces parallel programming techniques as a natural extension to sequential programming, developing the basic techniques of message-passing parallel programming, and then studying problem-specific algorithms in both non-numeric and numeric domains.
• Requires no prerequisite in parallel programming; assumes only C programming knowledge.
• Uses MPI and PVM pseudocodes to describe algorithms and allows different programming tools to be implemented.
• Provides students with thorough coverage of shared memory programming and Pthreads to assist them in shared memory programming assignments.
• Explores such applications as numerical algorithms, image processing, searching, and optimization.

Détails bibliographiques

Titre : Parallel Programming : Techniques and ...
Éditeur : Pearson Education
Date d'édition : 2004
Reliure : Couverture souple
Etat : Very Good
Edition : 2ème Édition