Applied parallel computing

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The book provides a practical guide to computational scientists and engineers to help advance their research by exploiting the superpower of supercomputers with many processors and complex networks. This book focuses on the design and analysis of basic parallel algorithms, the key components for composing larger packages for a wide range of applications.

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Title Statements

Full title :Applied parallel computing / Yuefan Deng.

Summary

Edition Statements

Publication Date:©2013.

Publication Statements

Publisher(s):World Scientific
Place of Publication:Singapore
Language:eng
Publication Date:©2013.

The Physical Object

Description:1 online resource (x, 207 pages) : : illustrations

Edition Identifiers

ISBN:9789814307604, 9814307602, 9781299281110, 1299281117, 9789814307611, 9814307610
oclc:ocn830512313
LC Classification:QA76.58
Dewey Decimal:004.3/5

Ch. 1. Introduction. 1.1. Definition of parallel computing. 1.2. Evolution of computers. 1.3. An enabling technology. 1.4. Cost effectiveness -- ch. 2. Performance metrics and models. 2.1. Parallel activity trace. 2.2. Speedup. 2.3. Parallel efficiency. 2.4. Load imbalance. 2.5. Granularity. 2.6. Overhead. 2.7. Scalability. 2.8. Amdahl's law -- ch. 3. Hardware systems. 3.1. Node architectures. 3.2. Network interconnections. 3.3. Instruction and data streams. 3.4. Processor-memory connectivity. 3.5. IO subsystems. 3.6. System convergence. 3.7. Design considerations -- ch. 4. Software systems. 4.1. Node software. 4.2. Programming models. 4.3. Parallel debuggers. 4.4. Parallel profilers -- ch. 5. Design of algorithms. 5.1. Algorithm models. 5.2. Examples of collective operations. 5.3. Mapping tasks to processors -- ch. 6. Linear algebra. 6.1. Problem decomposition. 6.2. Matrix operations. 6.3. Solution of linear systems -- ch. 7. Differential equations. 7.1. Integration and differentiation. 7.2. Partial differential equations -- ch. 8. Fourier transforms. 8.1. Fourier transforms. 8.2. Discrete Fourier transforms. 8.3. Fast Fourier transforms. 8.4. Simple parallelization. 8.5. The tra…