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LEADER 00000cam a2200589Mu 4500 
001    ocn830162419 
003    OCoLC 
005    20160527040615.9 
006    m     o  d         
007    cr cnu---unuuu 
008    130316s2012    si      o     000 0 eng d 
020    9789814307611|q(electronic book) 
020    9814307610|q(electronic book) 
035    (OCoLC)830162419 
040    EBLCP|beng|epn|cEBLCP|dYDXCP|dN$T|dDEBSZ|dOCLCQ|dOCLCF
       |dOCLCQ 
049    RIDW 
050  4 QA76.58 
072  7 COM|x048000|2bisacsh 
082 04 004.35 
090    QA76.58 
100 1  Deng, Yuefan.|0https://id.loc.gov/authorities/names/
       no2012161312 
245 10 Applied Parallel Computing. 
264  1 Singapore :|bWorld Scientific Publishing Company,|c2012. 
300    1 online resource (218 pages) 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
340    |gpolychrome|2rdacc 
347    text file|2rdaft 
500    10.5. Diffusion Equation and Mechanical Engineering. 
505 0  Preface; CONTENTS; Chapter 1. Introduction; 1.1. 
       Definition of Parallel Computing; 1.2. Evolution of 
       Computers; 1.3. An Enabling Technology; 1.4. Cost 
       Effectiveness; 1.4.1. Purchasing costs; 1.4.2. Operating 
       costs; 1.4.3. Programming costs; Chapter 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; Chapter 3. Hardware Systems; 3.1. Node 
       Architectures; 3.2. Network Interconnections; 3.2.1. 
       Topology; 3.2.2. Interconnect Technology. 
505 8  3.3. Instruction and Data Streams3.4. Processor-
       MemoryConnectivity; 3.5. IO Subsystems; 3.6. System 
       Convergence; 3.7. Design Considerations; Chapter 4. 
       Software Systems; 4.1. Node Software; 4.1.1. Operating 
       systems; 4.1.2. Compilers and libraries; 4.1.3. Profilers;
       4.2. Programming Models; 4.2.1. Message passing; 4.2.2. 
       Shared-memory; 4.3. ParallelDebuggers; 4.4. Parallel 
       Profilers; Chapter 5. Design of Algorithms; 5.1. Algorithm
       Models; 5.1.1. Master-slave; 5.1.2. Domain decomposition; 
       5.1.3. Control decomposition; 5.1.4. Virtual-shared-
       memory; 5.1.5. Comparison of programming models. 
505 8  5.1.6. Parallel algorithmic issues5.1.7. Levels of 
       algorithmic complication; 5.2. Examples of Collective 
       Operations; 5.2.1. Broadcast; 5.2.2. Gather and scatter; 
       5.2.3. Allgather; 5.3. Mapping Tasks to Processors; 5.3.1.
       Supply matrix; 5.3.2. Demand matrix; 5.3.3. Review of 
       mapping models; 5.3.4. Mapping models and algorithms; 
       Chapter 6. Linear Algebra; 6.1. Problem Decomposition; 
       6.2. Matrix Operations; 6.2.1. Matrix-vector 
       multiplications; 6.2.2. Matrix-matrix multiplications; 
       6.3. Solution of Linear Systems; 6.3.1. Direct methods; 
       6.3.2. Iterative methods; 6.3.3. ADI. 
505 8  Chapter 7. Differential Equations7.1. Integration and 
       Differentiation; 7.1.1. Riemann summation for integration;
       7.1.2. Monte Carlo method for integration; 7.1.3. Simple 
       parallelization; 7.2. Partial Differential Equations; 
       7.2.1. Hyperbolic equations; 7.2.2. 3D Heat equation; 
       7.2.3. 2D Poisson equation; 7.2.4. 3D Poisson equation; 
       7.2.5. 3D Helmholtz equation; 7.2.6. Molecular dynamics; 
       Chapter 8. Fourier Transforms; 8.1. Fourier Transforms; 
       8.2. Discrete Fourier Transforms; 8.3. Fast Fourier 
       Transforms; 8.4. Simple Parallelization; 8.5. The 
       Transpose Method; 8.6. Complexity Analysis for FFT. 
505 8  Chapter 9. Optimization9.1. Monte CarloMethods; 9.1.1. 
       Basics; 9.1.2. Metropolis-Hastings Algorithm; 9.1.3. 
       Simulated annealing; 9.1.4. Genetic algorithm; 9.2. 
       Parallelization; 9.2.1. Basics; 9.2.2. Chain mixing 
       method; Chapter 10. Applications; 10.1. Newton's Equation 
       and Molecular Dynamics; 10.1.1. Molecular dynamics; 
       10.1.2. Basics of classical MD; 10.2. Schrodinger's 
       Equations and Quantum Mechanics; 10.3. Partition Function,
       DFT and Material Science; 10.3.1. Materials research; 
       10.4. Maxwell's Equations and Electrical Engineering; 
       10.4.1. Helmholtz equation; 10.4.2. Electrical 
       engineering. 
520    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. 
588 0  Print version record. 
590    eBooks on EBSCOhost|bEBSCO eBook Subscription Academic 
       Collection - North America 
650  0 Parallel processing (Electronic computers)|0https://
       id.loc.gov/authorities/subjects/sh85097826 
650  0 High performance computing.|0https://id.loc.gov/
       authorities/subjects/sh95008935 
650  7 Parallel processing (Electronic computers)|2fast|0https://
       id.worldcat.org/fast/1052928 
650  7 High performance computing.|2fast|0https://id.worldcat.org
       /fast/956032 
655  0 Electronic books. 
655  4 Electronic books. 
776 08 |iPrint version:|aDeng, Yuefan.|tApplied Parallel 
       Computing.|dSingapore : World Scientific Publishing 
       Company, ©2012|z9789814307604 
856 40 |uhttps://rider.idm.oclc.org/login?url=http://
       search.ebscohost.com/login.aspx?direct=true&scope=site&
       db=nlebk&AN=545490|zOnline eBook. Access restricted to 
       current Rider University students, faculty, and staff. 
856 42 |3Instructions for reading/downloading this eBook|uhttp://
       guides.rider.edu/ebooks/ebsco 
901    MARCIVE 20231220 
948    |d20160607|cEBSCO|tebscoebooksacademic|lridw 
994    92|bRID
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