Principles Of Parallel Programming Pearson International Edition

Description

With the rise of multi-core architecture, parallel programming is an increasingly important topic for software engineers and computer system designers. Principles of Parallel Programming, written by well-known researchers Calvin Lin and Lawrence Snyder, focuses on the underlying principles of parallel computation, explains the various phenomena, and clarifies why these phenomena represent opportunities or barriers to successful parallel programming.

This book is ideal for an upper-level undergraduate or master's level course, or for a professional programmer seeking an introduction to parallelism. The text supplies valuable, enduring information that will outlive the current hardware and software.

KEY FEATURES

* A principles-first approach emphasizes the fundamental concepts of parallel computation rather than offering a "how-to" guide for current commercial products.
* Popular programming languages are discussed in the context of the principles and tools used for programming contemporary parallel machines.
* Note boxes provide interesting extensions of the information presented.
* Definition boxes define key words and concepts.
* Chapter exercises offer opportunities to implement the concepts discussed.
* Future Directions in Parallel Programming (Chapter 10) focuses on current developments that are likely to impact the field.
* Writing Parallel Programs (Chapter 11) provides hands-on practice for readers to create a substantial parallel program.

CONTENTS:

Chapter 1 Introduction: Parallelism = Opportunities + Challenges
The Power and Potential of Parallelism
Examining Sequential and Parallel Programs
A Paradigm Shift
Parallelism Using Multiple Instruction Streams
The Goals: Scalable Performance and Portability
Summary
Historical Context
Exercises

Chapter 2 Parallel Computers And Their Model
Balancing Machine Specifics with Portability
A Look at Five Parallel Computers
The RAM: An Abstraction of a Sequential Computer
The PRAM: A Parallel Computer Model
The CTA: A Practical Parallel Computer Model
Memory Reference Mechanisms
A Closer Look at Communication
Applying the CTA Model
Summary
Historical Perspective
Exercises

Chapter 3 Reasoning about Performance
Introduction
Motivation and Some Basic Concepts
Sources of Performance Loss
Parallel Structure
Reasoning about Performance
Performance Trade-Offs
Measuring Performance
What should we measure?
Summary
Historical Perspective
Exercises

Chapter 4 First Steps Towards Parallel Programming
Task and Data Parallelism
Peril-L
Count 3s Example
Conceptualizing Parallelism
Alphabetizing Example
Comparison of Three Solutions
Summary
Historical Perspective
Exercises

Chapter 5 Scalable Algorithmic Techniques
The Inevitability of Trees
Blocks of Independent Computation
Schwartz' Algorithm
Assigning Work To Processes Statically
Assigning Work to Processes Dynamically
The Reduce & Scan Abstractions
Trees
Summary
Historical Context
Exercises

Chapter 6 Programming with Threads
POSIX Threads
Thread Creation and Destruction
Mutual Exclusion
Synchronization
Safety Issues
Performance Issues
Open MP
The Count 3s Example
Semantic Limitations on
Reduction
Thread Behavior and Interaction
Sections
Summary of OpenMP
Java Threads
Summary
Historical Perspectives
Exercises

Chapter 7 Local View Programming Languages
MPI: The Message Passing Interface
Getting Started
Safety Issues
Performance Issues
Co-Array Fortran
Unified Parallel C
Titanium
Summary
Exercises

Chapter 8 Global View Programming Languages
The Z-level Programming Language
Basic Concepts of ZPL
Life, An Example
Design Principles
Manipulating Arrays Of Different Ranks
Reordering Data With Remap
Parallel Execution of ZPL
Performance Model
Summary
NESL
Historical Context
Exercises

Chapter 9 Assessing Our Knowledge
Introduction
Evaluating Existing Approaches
Lessons for the Future
Summary
Historical Perspectives
Exercises

Chapter 10 Future Directions in Parallel Programming
Attached Processors
Grid Computing
Transactional Memory
Summary
Exercises

Chapter 11 Capstone Project: Designing a Parallel Program
Introduction
Motivation
Getting Started
Summary
Historical Perspective
Exercises

Appendix 1 More Advanced Concepts