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Scientific Parallel Computing

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ISBN-10: 069111935X

ISBN-13: 9780691119359

Edition: 2005

Authors: Larkin Ridgway Scott, Terry Clark, Babak Bagheri

List price: $110.00
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Description:

What does Google's management of billions of Web pages have in common with analysis of a genome with billions of nucleotides? Both apply methods that coordinate many processors to accomplish a single task. From mining genomes to the World Wide Web, from modeling financial markets to global weather patterns, parallel computing enables computations that would otherwise be impractical if not impossible with sequential approaches alone. Its fundamental role as an enabler of simulations and data analysis continues an advance in a wide range of application areas. Scientific Parallel Computingis the first textbook to integrate all the fundamentals of parallel computing in a single volume while…    
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Book details

List price: $110.00
Copyright year: 2005
Publisher: Princeton University Press
Publication date: 4/17/2005
Binding: Hardcover
Pages: 392
Size: 6.85" wide x 10.59" long x 1.07" tall
Weight: 1.848
Language: English

Preface ix
Notation xiii
Introduction
Overview
What is parallel computing?
Performance
Why parallel?
Two simple examples
Mesh-based applications
Parallel perspectives
Exercises
Parallel Performance
Summation example
Performance measures
Limits to performance
Scalability
Parallel performance analysis
Parallel payoff
Real world parallelism
Starting SPMD programming
Exercises
Computer Architecture
PMS notation
Shared memory multiprocessor
Distributed memory multicomputer
Pipeline and vector processors
Comparison of parallel architectures
Taxonomies
Current trends
Exercises
Dependences
Data dependences
Loop-carried data dependences
Dependence examples
Testing for loop-carried dependences
Loop transformations
Dependence examples continued
Exercises
Parallel Languages
Critical factors
Command and control
Memory models
Shared memory programming
Message passing
Examples and comments
Parallel language developments
Exercises
Collective Operations
The @notation
Tree/ring algorithms
Reduction operations
Reduction operation applications
Parallel prefix algorithms
Performance of reduction operations
Data movement operations
Exercises
Current Programming Standards
Introduction to MPI
Collective operations in MPI
Introduction to POSIX threads
Exercises
The Planguage Model
I P language details
Ranges and arrays
Reduction operations in Pfortran
Introduction to PC
Reduction operations in PC
Planguages versus message passing
Exercises
High Performance Fortran
HPF data distribution directives
Other mechanisms for expressing concurrency
Compiling HPF
HPF comparisons and review
Exercises
Loop Tiling
Loop tiling
Work vs.data decomposition
Tiling in Open MP
Teams
Parallel regions
Exercises
Matrix Eigen Analysis
The Leslie matrix model
The power method
A parallel Leslie matrix program
Matrix-vector product
Power method applications
Exercises
Linea Systems
Gaussian elimination
Solving triangular systems in parallel
Divide-and-conquer algorithms
Exercises
Projects
Particle Dynamics
Model assumptions
Using Newton's third law
Further code complications
Pair list generation
Force calculation with a pair list
Performance of replication algorithm
Case study:particle dynamics in HPF
Exercises
Projects
Mesh Methods
Boundary value problems
Iterative methods
Multigrid methods
Multidimensional problems
Initial value problems
Exercises
Projects
Sorting
Introduction
Parallel sorting
Spatial sorting
Exercises
Projects
Bibliography
Index