An Introduction to Parallel Programming is the first undergraduate text to directly address compiling and running parallel programs on the new multi-core and cluster architecture. It explains how to design, debug, and evaluate the performance of distributed and shared-memory programs. The author Peter Pacheco uses a tutorial approach to show students how to develop effective parallel programs with MPI, Pthreads, and OpenMP, starting with small programming examples and building progressively to more challenging ones. The text is written for students in undergraduate parallel programming or parallel computing courses designed for the computer science major or as a service course to other departments; professionals with no background in parallel computing.
Key Features
- Takes a tutorial approach, starting with small programming examples and building progressively to more challenging examples
- Focuses on designing, debugging and evaluating the performance of distributed and shared-memory programs
- Explains how to develop parallel programs using MPI, Pthreads, and OpenMP programming models
1 Why Parallel Computing
1.1 Why We Need Ever-Increasing Performance
1.2 Why We’re Building Parallel Systems
1.3 Why We Need to Write Parallel Programs
1.4 How Do We Write Parallel Programs?
1.5 What We’ll Be Doing
1.6 Concurrent, Parallel, Distributed
1.7 The Rest of the Book
1.8 A Word of Warning
1.9 Typographical Conventions
1.10 Summary
1.11 Exercises
2 Parallel Hardware and Parallel Software
2.1 Some Background
2.2 Modifications to the von Neumann Model
2.3 Parallel Hardware
2.4 Parallel Software
2.5 Input and Output
2.6 Performance
2.7 Parallel Program Design
2.8 Writing and Running Parallel Programs
2.9 Assumptions
2.10 Summary
2.11 Exercises
3 Distributed Memory Programming with MPI
3.1 Getting Started
3.2 The Trapezoidal Rule in MPI
3.3 Dealing with I/O
3.4 Collective Communication
3.5 MPI Derived Datatypes
3.7 A Parallel Sorting Algorithm
3.8 Summary
3.9 Exercises
3.10 Programming Assignments
4 Shared Memory Programming with Pthreads
4.1 Processes, Threads and Pthreads
4.2 Hello, World
4.3 Matrix-Vector Multiplication
4.4 Critical Sections
4.5 Busy-Waiting
4.6 Mutexes
4.7 Producer-Consumer Synchronization and Semaphores
4.8 Barriers and Condition Variables
4.9 Read-Write Locks
4.10 Caches, Cache-Coherence, and False Sharing
4.11 Thread-Safety
4.12 Summary
4.13 Exercises
4.14 Programming Assignments
5 Shared Memory Programming with OpenMP
5.1 Getting Started
5.2 The Trapezoidal Rule
5.3 Scope of Variables
5.4 The Reduction Clause
5.5 The Parallel For Directive
5.6 More About Loops in OpenMP: Sorting
5.7 Scheduling Loops
5.8 Producers and Consumers
5.9 Caches, Cache-Coherence, and False Sharing
5.10 Thread-Safety
5.11 Summary
5.12 Exercises
5.13 Programming Assignments
6 Parallel Program Development
6.1 Two N-Body Solvers
6.2 Tree Search
6.3 A Word of Caution
6.4 Which API?
6.5 Summary
6.6 Exercises
6.7 Programming Assignments
7 Where to Go from Here
- Grama, An Introduction to Parallel Computing, 2e: Design and Analysis of Algorithms, 2003, 0201648652, $116.00
- Wilkinson and Allen, Parallel Programming, 2e: Techniques and Applications Using Networked Workstations and Parallel Computers, 2005, 0131405632, $113.00
- Pacheco, Parallel Programming With MPI, 1996, 1558603395, $76.95
