An introduction to parallel programming / Peter S. Pacheco.
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EWU Library E-book | Non-fiction | 005.275 PAI 2011 (Browse shelf(Opens below)) | Not for loan | ||||
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005.265 IRA 2004 Assembly language for Intel-based computers / | 005.268 NIM 2002 Making Win32 applications mobile : | 005.268 STR 1999 Ready-to-run Visual Basic code library : | 005.275 PAI 2011 An introduction to parallel programming / | 005.276 BLA 1997 ActiveX Web programming : | 005.276 BLA 1997 ActiveX Web programming : | 005.276 BLA 1997 ActiveX Web programming : |
Includes bibliographical references (p. 357-359) and index.
TOC Machine generated contents note: 1 Why Parallel Computing1.1 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 Software2.1 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 MPI3.1 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 Summary3.9 Exercises 3.10 Programming Assignments 4 Shared Memory Programming with Pthreads4.1 Processes, Threads and Pthreads 4.2 Hello, World4.3 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 Exercises4.14 Programming Assignments 5 Shared Memory Programming with OpenMP5.1 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 Development6.1 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 .
CSE
Sagar Shahanawaz
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