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Algorithms for Parallel Processing

Overview of attention for book
Cover of 'Algorithms for Parallel Processing'

Table of Contents

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    Book Overview
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    Chapter 1 A General-Purpose Shared-Memory Model for Parallel Computation
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    Chapter 2 Supporting a Coherent Shared Address Space Across SMP Nodes: An Application-Driven Investigation
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    Chapter 3 Single-Message vs. Batch Communication
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    Chapter 4 Some Simple and Practical Strategies for Parallelism
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    Chapter 5 Locality in Computing Connected Components
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    Chapter 6 Routing in Optical and Wireless Networks
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    Chapter 7 Transparent Parallel Transactions on Replicated Autonomous Databases
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    Chapter 8 Mathematical Tools for Loop Transformations: From Systems of Uniform Recurrence Equations to the Polytope Model
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    Chapter 9 The Scalability of Mesh Improvement Algorithms
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    Chapter 10 Data Parallel Performance Optimizations Using Array Aliasing
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    Chapter 11 Coarsening, Sampling, and Smoothing: Elements of the Multilevel Method
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    Chapter 12 Some Methods of Parallel Pseudorandom Number Generation
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    Chapter 13 Performance of Parallel Sparse Triangular Solution
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    Chapter 14 Determining an out-of-Core FFT Decomposition Strategy for Parallel Disks by Dynamic Programming
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    Chapter 15 Enabling Department-Scale Supercomputing
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    Chapter 16 Providing Uniform Dynamic Access to Numerical Software
Attention for Chapter 5: Locality in Computing Connected Components
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Citations

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Chapter title
Locality in Computing Connected Components
Chapter number 5
Book title
Algorithms for Parallel Processing
Published by
Springer, New York, NY, January 1999
DOI 10.1007/978-1-4612-1516-5_5
Book ISBNs
978-1-4612-7175-8, 978-1-4612-1516-5
Authors

Abhiram Ranade

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 50%
Student > Master 1 25%
Unknown 1 25%
Readers by discipline Count As %
Computer Science 2 50%
Engineering 1 25%
Unknown 1 25%

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