Tools and Environments for Parallel and Distributed Computing
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Zugänge zur parallelen Rechentechnik: Dieses Buch behandelt ein breites Spektrum verschiedener Ansätze! Sie erhalten einen aufschlussreichen Überblick über die leistungsfähigsten derzeit gebräuchlichen Tools. Fallstudien stellen besonders erfolgreiche Implementationen (u. a. Stanford, MIT) vor. Im Vordergrund der Diskussion steht die Performance der Lösungen. Die Autoren arbeiten am renommierten Northeast Parallel Architectures Center.* An invaluable reference for anyone designing new parallel or distributed systems. * Includes detailed case studies of specific systems from Stanford, MI...
Zugänge zur parallelen Rechentechnik: Dieses Buch behandelt ein breites Spektrum verschiedener Ansätze! Sie erhalten einen aufschlussreichen Überblick über die leistungsfähigsten derzeit gebräuchlichen Tools. Fallstudien stellen besonders erfolgreiche Implementationen (u. a. Stanford, MIT) vor. Im Vordergrund der Diskussion steht die Performance der Lösungen. Die Autoren arbeiten am renommierten Northeast Parallel Architectures Center.
* An invaluable reference for anyone designing new parallel or distributed systems.
* Includes detailed case studies of specific systems from Stanford, MIT, and other leading research universities.
* The authors emphasize performance, surveying all available techniques.
Preface.
1. Parallel and Distributed Computing (S. Hariri & M. Parashar).
1.1 Introduction: Basic Concepts.
1.2 Promises and Challenges of Parallel and Distributed Systems.
1.3 Distributed System Design Framework.
References and Further Reading.
2. Message-Passing Tools (S. Hariri & I. Ra).
2.1 Introduction.
2.2 Message-Passing Tools versus Distributed Shared Memory.
2.3 Message-Passing System: Desirable Features.
2.4 Classification of Message-Passing Tools.
2.5 Overview of Message-Passing Tools.
2.6 ACS.
2.7 Experimental Results and Analysis.
2.8 Conclusions.
References.
3. Distributed Shared Memory Tools (M. Parashar & S. Chandra).
3.1 Introduction.
3.2 Cache Coherence.
3.3 Shared Memory Consistency Models.
3.4 Distributed Memory Architectures.
3.5 Classification of Distributed Shared Memory Systems.
References.
4. Distributed-Object Computing Tools (R. Raje, et al.).
4.1 Introduction.
4.2 Basic Model.
4.3 Examples.
4.4 Comparison of the Three Paradigms.
4.5 Conclusions.
References.
5. Gestalt of the Grid (G. von Laszewski & P. Wagstrom).
5.1 Introduction.
5.2 Definitions.
5.3 Multifaceted Grid Architecture.
5.4 Grid Management Aspects.
5.5 Grid Activities.
5.6 Grid Applications.
5.7 Portals.
5.8 Conclusions.
References.
6. Software Development for Parallel and Distributed Computing (M. Parashar & S. Hariri).
6.1 Introduction.
6.2 Issues in HPC Software Development.
6.3 HPC Software Development Process.
6.4 Parallel Modeling of Stock Option Pricing.
6.5 Inputs.
6.6 Application Analysis Stage.
6.7 Application Development Stage.
6.8 Compile-Time and Runtime Stage.
6.9 Evaluation Stage.
6.10 Maintenance/Evolution Stage.
6.11 Existing Software Support.
References.
Index.
* An invaluable reference for anyone designing new parallel or distributed systems.
* Includes detailed case studies of specific systems from Stanford, MIT, and other leading research universities.
* The authors emphasize performance, surveying all available techniques.
Preface.
1. Parallel and Distributed Computing (S. Hariri & M. Parashar).
1.1 Introduction: Basic Concepts.
1.2 Promises and Challenges of Parallel and Distributed Systems.
1.3 Distributed System Design Framework.
References and Further Reading.
2. Message-Passing Tools (S. Hariri & I. Ra).
2.1 Introduction.
2.2 Message-Passing Tools versus Distributed Shared Memory.
2.3 Message-Passing System: Desirable Features.
2.4 Classification of Message-Passing Tools.
2.5 Overview of Message-Passing Tools.
2.6 ACS.
2.7 Experimental Results and Analysis.
2.8 Conclusions.
References.
3. Distributed Shared Memory Tools (M. Parashar & S. Chandra).
3.1 Introduction.
3.2 Cache Coherence.
3.3 Shared Memory Consistency Models.
3.4 Distributed Memory Architectures.
3.5 Classification of Distributed Shared Memory Systems.
References.
4. Distributed-Object Computing Tools (R. Raje, et al.).
4.1 Introduction.
4.2 Basic Model.
4.3 Examples.
4.4 Comparison of the Three Paradigms.
4.5 Conclusions.
References.
5. Gestalt of the Grid (G. von Laszewski & P. Wagstrom).
5.1 Introduction.
5.2 Definitions.
5.3 Multifaceted Grid Architecture.
5.4 Grid Management Aspects.
5.5 Grid Activities.
5.6 Grid Applications.
5.7 Portals.
5.8 Conclusions.
References.
6. Software Development for Parallel and Distributed Computing (M. Parashar & S. Hariri).
6.1 Introduction.
6.2 Issues in HPC Software Development.
6.3 HPC Software Development Process.
6.4 Parallel Modeling of Stock Option Pricing.
6.5 Inputs.
6.6 Application Analysis Stage.
6.7 Application Development Stage.
6.8 Compile-Time and Runtime Stage.
6.9 Evaluation Stage.
6.10 Maintenance/Evolution Stage.
6.11 Existing Software Support.
References.
Index.