Computer Science

Designed for undergraduate 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.

• Contains fully classroom tested materials geared specifically for undergraduates that provide a firm grounding of techniques and applications.

• 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 allow 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 and searching and optimization.

• Offers a complete instructor's support website, including:

  • Examples, assignments, and instructional materials for using the MPI and PVM software.

I. BASIC TECHNIQUES.

II. ALGORITHMS AND APPLICATIONS.

Parallel Computing (Computer Science)
Parallel Processing (Electrical and Computing Engineering)
Parallel Programming / Concurrent Programming (Computer Science)

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.

• Parallel Programming: Techniques and Applications Using Networked Workstations and Parallel Computers, 2/E
  Wilkinson & Allen
  © 2005 | Prentice Hall | Paper; 496 pages | Instock
  ISBN-10: 0131405632 | ISBN-13: 9780131405639
  Brief Description | Buy from myPearsonStore
  



CourseSmart Textbooks Online is an exciting new choice for students looking to save money. As an alternative to purchasing the print textbook, students can subscribe to the same content online and save up to 50% off the suggested list price of the print text. With a CourseSmart etextbook, students can search the text, make notes online, print out reading assignments that incorporate lecture notes, and bookmark important passages for later review. For more information, or to subscribe to the CourseSmart eTextbook, visit www.coursesmart.com.

 

• Parallel Programming: Techniques and Applications Using Networked Workstations and Parallel Computers, CourseSmart eTextbook, 2/E
  Wilkinson & Allen
  © 2005 | Prentice Hall | On-line Supplement; 496 pages | Instock
  ISBN-10: 0131288156 | ISBN-13: 9780131288157
  URL: http://www.coursesmart.com
  Brief Description | Buy from myPearsonStore
  

BARRY WILKINSON and MICHAEL ALLEN have created a comprehensive instructor's support website, including examples, assignments, and instructional materials for using the MPI and PVM software. The materials include extensive web pages to help students learn how to compile and run parallel programs as well as sample programs.

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.

View a Sample Chapter PDF: /samplechapter/0136717101.pdf

Pearson Higher Education offers special pricing when you choose to package your text with other student resources. If you're interested in creating a cost-saving package for your students, contact your Pearson Higher Education representative for pricing and ordering information.

Pearson Higher Education offers special pricing when you choose to package your text with other student resources. If you're interested in creating a cost-saving package for your students contact your Pearson Higher Education representative.