Scientific Parallel Computing

Name: Scientific Parallel Computing
Brand: Princeton University Press
Price: 113.99 EUR
Availability: OnlineOnly

Larkin Ridgway Scott Terry Clark Babak Bagheri(Autor*in)

Princeton University Press

1. Auflage

Erschienen am 9. März 2021

392 Seiten

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978-0-691-22765-8 (ISBN)

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Inhalt

Cover Page
Title Page
Copyright Page
Dedication Page
Contents
Preface
Notation
Chapter 1. Introduction
1.1 Overview
1.2 What is parallel computing?
1.3 Performance
1.4 Why parallel?
1.5 Two simple examples
1.6 Mesh-based applications
1.7 Parallel perspectives
1.8 Exercises
Chapter 2. Parallel Performance
2.1 Summation example
2.2 Performance measures
2.3 Limits to performance
2.4 Scalability
2.5 Parallel performance analysis
2.6 Parallel payoff
2.7 Real world parallelism
2.8 Starting SPMD programming
2.9 Exercises
Chapter 3. Computer Architecture
3.1 PMS notation
3.2 Shared memory multiprocessor
3.3 Distributed memory multicomputer
3.4 Pipeline and vector processors
3.5 Comparison of parallel architectures
3.6 Taxonomies
3.7 Current trends
3.8 Exercises
Chapter 4. Dependences
4.1 Data dependences
4.2 Loop-carried data dependences
4.3 Dependence examples
4.4 Testing for loop-carried dependences
4.5 Loop transformations
4.6 Dependence examples continued
4.7 Exercises
Chapter 5. Parallel Languages
5.1 Critical factors
5.2 Command and control
5.3 Memory models
5.4 Shared memory programming
5.5 Message passing
5.6 Examples and comments
5.7 Parallel language developments
5.8 Exercises
Chapter 6. Collective Operations
6.1 The @ notation
6.2 Tree/ring algorithms
6.3 Reduction operations
6.4 Reduction operation applications
6.5 Parallel prefix algorithms
6.6 Performance of reduction operations
6.7 Data movement operations
6.8 Exercises
Chapter 7. Current Programming Standards
7.1 Introduction to MPI
7.2 Collective operations in MPI
7.3 Introduction to POSIX threads
7.4 Exercises
Chapter 8. The IPlanguage Model
8.1 IPlanguage details
8.2 Ranges and arrays
8.3 Reduction operations in IPfortran
8.4 Introduction to IPC
8.5 Reduction operations in IPC
8.6 IPlanguages versus message passing
8.7 Exercises
Chapter 9. High Performance Fortran
9.1 HPF data distribution directives
9.2 Other mechanisms for expressing concurrency
9.3 Compiling HPF
9.4 HPF comparisons and review
9.5 Exercises
Chapter 10. Loop Tiling
10.1 Loop tiling
10.2 Work vs. data decomposition
10.3 Tiling in OpenMP
10.4 Teams
10.5 Parallel regions
10.6Exercises
Chapter 11. Matrix Eigen Analysis
11.1 The Leslie matrix model
11.2 The power method
11.3 A parallel Leslie matrix program
11.4 Matrix-vector product
11.5 Power method applications
11.6 Exercises
Chapter 12. Linear Systems
12.1 Gaussian elimination
12.2 Solving triangular systems in parallel
12.3 Divide-and-conquer algorithms
12.4 Exercises
12.5 Projects
Chapter 13. Particle Dynamics
13.1 Model assumptions
13.2 Using Newton's third law
13.3 Further code complications
13.4 Pair list generation
13.5 Force calculation with a pair list
13.6P erformance of replication algorithm
13.7 Case study: particle dynamics in HPF
13.8 Exercises
13.9 Projects
Chapter 14. Mesh Methods
14.1 Boundary value problems
14.2 Iterative methods
14.3 Multigrid methods
14.4 Multidimensional problems
14.5 Initial value problems
14.6 Exercises
14.7 Projects
Chapter 15. Sorting
15.1 Introduction
15.2 Parallel sorting
15.3 Spatial sorting
15.4 Exercises
15.5 Projects
Bibliography
Index

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