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OpenMP Shared Memory Parallel Programming

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Cover of 'OpenMP Shared Memory Parallel Programming'

Table of Contents

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    Book Overview
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    Chapter 1 SPEComp: A New Benchmark Suite for Measuring Parallel Computer Performance
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    Chapter 2 Portable Compilers for OpenMP
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    Chapter 3 The Omni OpenMP Compiler on the Distributed Shared Memory of Cenju-4
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    Chapter 4 Some Simple OpenMP Optimization Techniques
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    Chapter 5 An Integrated Performance Visualizer for MPI/OpenMP Programs
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    Chapter 6 A Dynamic Tracing Mechanism for Performance Analysis of OpenMP Applications
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    Chapter 7 A Comparison of Scalable Labeling Schemes for Detecting Races in OpenMP Programs
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    Chapter 8 Debugging OpenMP Programs Using Event Manipulation
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    Chapter 9 The Application of POSIX Threads and OpenMP to the U.S. NRC Neutron Kinetics Code PARCS
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    Chapter 10 Integrating OpenMP into Janus
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    Chapter 11 A Study of Implicit Data Distribution Methods for OpenMP Using the SPEC Benchmarks
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    Chapter 12 OmniRPC: A Grid RPC Facility for Cluster and Global Computing in OpenMP
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    Chapter 13 Performance Oriented Programming for NUMA Architechtures
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    Chapter 14 Defining and Supporting Pipelined Executions in OpenMP
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    Chapter 15 CableS : Thread Control and Memory System Extensions for Shared Virtual Memory Clusters
Attention for Chapter 14: Defining and Supporting Pipelined Executions in OpenMP
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Chapter title
Defining and Supporting Pipelined Executions in OpenMP
Chapter number 14
Book title
OpenMP Shared Memory Parallel Programming
Published by
Springer, Berlin, Heidelberg, July 2001
DOI 10.1007/3-540-44587-0_14
Book ISBNs
978-3-54-042346-1, 978-3-54-044587-6
Authors

M. Gonzalez, E. Ayguadfi, X. Martorell, J. Labarta, Gonzalez, M., Ayguadfi, E., Martorell, X., Labarta, J.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 100%
Readers by discipline Count As %
Computer Science 1 100%

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