Applied Parallel Computing:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Singapore
World Scientific Publishing Company
2012
|
| Schlagworte: | |
| Online-Zugang: | FAW01 FAW02 Volltext |
| Beschreibung: | 10.5. Diffusion Equation and Mechanical Engineering 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 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 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. 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. 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 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 |
| Beschreibung: | 1 Online-Ressource (218 pages) |
| ISBN: | 9789814307611 9814307610 |
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| 500 | |a 10.5. Diffusion Equation and Mechanical Engineering | ||
| 500 | |a 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 | ||
| 500 | |a 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 | ||
| 500 | |a 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. | ||
| 500 | |a 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. | ||
| 500 | |a 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 | ||
| 500 | |a 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 | ||
| 650 | 7 | |a COMPUTERS / Systems Architecture / Distributed Systems & Computing |2 bisacsh | |
| 650 | 7 | |a High performance computing |2 fast | |
| 650 | 7 | |a Parallel processing (Electronic computers) |2 fast | |
| 650 | 4 | |a Parallel processing (Electronic computers) | |
| 650 | 4 | |a High performance computing | |
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Datensatz im Suchindex
| _version_ | 1804175496385134592 |
|---|---|
| any_adam_object | |
| author | Deng, Yuefan |
| author_facet | Deng, Yuefan |
| author_role | aut |
| author_sort | Deng, Yuefan |
| author_variant | y d yd |
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| dewey-ones | 004 - Computer science |
| dewey-raw | 004.35 |
| dewey-search | 004.35 |
| dewey-sort | 14.35 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| id | DE-604.BV043093387 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:17:13Z |
| institution | BVB |
| isbn | 9789814307611 9814307610 |
| language | English |
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| publisher | World Scientific Publishing Company |
| record_format | marc |
| spelling | Deng, Yuefan Verfasser aut Applied Parallel Computing Singapore World Scientific Publishing Company 2012 1 Online-Ressource (218 pages) txt rdacontent c rdamedia cr rdacarrier 10.5. Diffusion Equation and Mechanical Engineering 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 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 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. 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. 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 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 COMPUTERS / Systems Architecture / Distributed Systems & Computing bisacsh High performance computing fast Parallel processing (Electronic computers) fast Parallel processing (Electronic computers) High performance computing Hochleistungsrechnen (DE-588)4532701-4 gnd rswk-swf Parallelverarbeitung (DE-588)4075860-6 gnd rswk-swf Parallelrechner (DE-588)4173280-7 gnd rswk-swf Hochleistungsrechnen (DE-588)4532701-4 s Parallelrechner (DE-588)4173280-7 s Parallelverarbeitung (DE-588)4075860-6 s 1\p DE-604 http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=545490 Aggregator Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Deng, Yuefan Applied Parallel Computing COMPUTERS / Systems Architecture / Distributed Systems & Computing bisacsh High performance computing fast Parallel processing (Electronic computers) fast Parallel processing (Electronic computers) High performance computing Hochleistungsrechnen (DE-588)4532701-4 gnd Parallelverarbeitung (DE-588)4075860-6 gnd Parallelrechner (DE-588)4173280-7 gnd |
| subject_GND | (DE-588)4532701-4 (DE-588)4075860-6 (DE-588)4173280-7 |
| title | Applied Parallel Computing |
| title_auth | Applied Parallel Computing |
| title_exact_search | Applied Parallel Computing |
| title_full | Applied Parallel Computing |
| title_fullStr | Applied Parallel Computing |
| title_full_unstemmed | Applied Parallel Computing |
| title_short | Applied Parallel Computing |
| title_sort | applied parallel computing |
| topic | COMPUTERS / Systems Architecture / Distributed Systems & Computing bisacsh High performance computing fast Parallel processing (Electronic computers) fast Parallel processing (Electronic computers) High performance computing Hochleistungsrechnen (DE-588)4532701-4 gnd Parallelverarbeitung (DE-588)4075860-6 gnd Parallelrechner (DE-588)4173280-7 gnd |
| topic_facet | COMPUTERS / Systems Architecture / Distributed Systems & Computing High performance computing Parallel processing (Electronic computers) Hochleistungsrechnen Parallelverarbeitung Parallelrechner |
| url | http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=545490 |
| work_keys_str_mv | AT dengyuefan appliedparallelcomputing |