Author: S. Noguchi
Publisher: IOS Press
ISBN: 9789051993103
Category : Computers
Languages : en
Pages : 248
Book Description
The 21st century will be the age of network computing. Among the many key technologies in this field, parallel computing and networking technology will play very important roles. In this book emphasis is placed on networking and modeling parallel computing. The topics cover parallel computing algorithms, parallel software, massively parallel computing systems and related applications. Articles cover parallel computing, networking and related applications, to initiate discussions. Since the appearance of Transputer chip T9000, C104, and standardizations of IEEE1355, Transputer systems seem to have opened a new interesting area of parallel computing, networking and many practical applications.
Correct Models of Parallel Computing
Author: S. Noguchi
Publisher: IOS Press
ISBN: 9789051993103
Category : Computers
Languages : en
Pages : 248
Book Description
The 21st century will be the age of network computing. Among the many key technologies in this field, parallel computing and networking technology will play very important roles. In this book emphasis is placed on networking and modeling parallel computing. The topics cover parallel computing algorithms, parallel software, massively parallel computing systems and related applications. Articles cover parallel computing, networking and related applications, to initiate discussions. Since the appearance of Transputer chip T9000, C104, and standardizations of IEEE1355, Transputer systems seem to have opened a new interesting area of parallel computing, networking and many practical applications.
Publisher: IOS Press
ISBN: 9789051993103
Category : Computers
Languages : en
Pages : 248
Book Description
The 21st century will be the age of network computing. Among the many key technologies in this field, parallel computing and networking technology will play very important roles. In this book emphasis is placed on networking and modeling parallel computing. The topics cover parallel computing algorithms, parallel software, massively parallel computing systems and related applications. Articles cover parallel computing, networking and related applications, to initiate discussions. Since the appearance of Transputer chip T9000, C104, and standardizations of IEEE1355, Transputer systems seem to have opened a new interesting area of parallel computing, networking and many practical applications.
Programming Models for Parallel Computing
Author: Pavan Balaji
Publisher: MIT Press
ISBN: 0262528819
Category : Computers
Languages : en
Pages : 488
Book Description
An overview of the most prominent contemporary parallel processing programming models, written in a unique tutorial style. With the coming of the parallel computing era, computer scientists have turned their attention to designing programming models that are suited for high-performance parallel computing and supercomputing systems. Programming parallel systems is complicated by the fact that multiple processing units are simultaneously computing and moving data. This book offers an overview of some of the most prominent parallel programming models used in high-performance computing and supercomputing systems today. The chapters describe the programming models in a unique tutorial style rather than using the formal approach taken in the research literature. The aim is to cover a wide range of parallel programming models, enabling the reader to understand what each has to offer. The book begins with a description of the Message Passing Interface (MPI), the most common parallel programming model for distributed memory computing. It goes on to cover one-sided communication models, ranging from low-level runtime libraries (GASNet, OpenSHMEM) to high-level programming models (UPC, GA, Chapel); task-oriented programming models (Charm++, ADLB, Scioto, Swift, CnC) that allow users to describe their computation and data units as tasks so that the runtime system can manage computation and data movement as necessary; and parallel programming models intended for on-node parallelism in the context of multicore architecture or attached accelerators (OpenMP, Cilk Plus, TBB, CUDA, OpenCL). The book will be a valuable resource for graduate students, researchers, and any scientist who works with data sets and large computations. Contributors Timothy Armstrong, Michael G. Burke, Ralph Butler, Bradford L. Chamberlain, Sunita Chandrasekaran, Barbara Chapman, Jeff Daily, James Dinan, Deepak Eachempati, Ian T. Foster, William D. Gropp, Paul Hargrove, Wen-mei Hwu, Nikhil Jain, Laxmikant Kale, David Kirk, Kath Knobe, Ariram Krishnamoorthy, Jeffery A. Kuehn, Alexey Kukanov, Charles E. Leiserson, Jonathan Lifflander, Ewing Lusk, Tim Mattson, Bruce Palmer, Steven C. Pieper, Stephen W. Poole, Arch D. Robison, Frank Schlimbach, Rajeev Thakur, Abhinav Vishnu, Justin M. Wozniak, Michael Wilde, Kathy Yelick, Yili Zheng
Publisher: MIT Press
ISBN: 0262528819
Category : Computers
Languages : en
Pages : 488
Book Description
An overview of the most prominent contemporary parallel processing programming models, written in a unique tutorial style. With the coming of the parallel computing era, computer scientists have turned their attention to designing programming models that are suited for high-performance parallel computing and supercomputing systems. Programming parallel systems is complicated by the fact that multiple processing units are simultaneously computing and moving data. This book offers an overview of some of the most prominent parallel programming models used in high-performance computing and supercomputing systems today. The chapters describe the programming models in a unique tutorial style rather than using the formal approach taken in the research literature. The aim is to cover a wide range of parallel programming models, enabling the reader to understand what each has to offer. The book begins with a description of the Message Passing Interface (MPI), the most common parallel programming model for distributed memory computing. It goes on to cover one-sided communication models, ranging from low-level runtime libraries (GASNet, OpenSHMEM) to high-level programming models (UPC, GA, Chapel); task-oriented programming models (Charm++, ADLB, Scioto, Swift, CnC) that allow users to describe their computation and data units as tasks so that the runtime system can manage computation and data movement as necessary; and parallel programming models intended for on-node parallelism in the context of multicore architecture or attached accelerators (OpenMP, Cilk Plus, TBB, CUDA, OpenCL). The book will be a valuable resource for graduate students, researchers, and any scientist who works with data sets and large computations. Contributors Timothy Armstrong, Michael G. Burke, Ralph Butler, Bradford L. Chamberlain, Sunita Chandrasekaran, Barbara Chapman, Jeff Daily, James Dinan, Deepak Eachempati, Ian T. Foster, William D. Gropp, Paul Hargrove, Wen-mei Hwu, Nikhil Jain, Laxmikant Kale, David Kirk, Kath Knobe, Ariram Krishnamoorthy, Jeffery A. Kuehn, Alexey Kukanov, Charles E. Leiserson, Jonathan Lifflander, Ewing Lusk, Tim Mattson, Bruce Palmer, Steven C. Pieper, Stephen W. Poole, Arch D. Robison, Frank Schlimbach, Rajeev Thakur, Abhinav Vishnu, Justin M. Wozniak, Michael Wilde, Kathy Yelick, Yili Zheng
Introduction to Parallel Computing
Author: Ananth Grama
Publisher: Pearson Education
ISBN: 9780201648652
Category : Computers
Languages : en
Pages : 664
Book Description
A complete source of information on almost all aspects of parallel computing from introduction, to architectures, to programming paradigms, to algorithms, to programming standards. It covers traditional Computer Science algorithms, scientific computing algorithms and data intensive algorithms.
Publisher: Pearson Education
ISBN: 9780201648652
Category : Computers
Languages : en
Pages : 664
Book Description
A complete source of information on almost all aspects of parallel computing from introduction, to architectures, to programming paradigms, to algorithms, to programming standards. It covers traditional Computer Science algorithms, scientific computing algorithms and data intensive algorithms.
Vector Models for Data-parallel Computing
Author: Guy E. Blelloch
Publisher: MIT Press (MA)
ISBN:
Category : Computers
Languages : en
Pages : 288
Book Description
Mathematics of Computing -- Parallelism.
Publisher: MIT Press (MA)
ISBN:
Category : Computers
Languages : en
Pages : 288
Book Description
Mathematics of Computing -- Parallelism.
Handbook of Parallel Computing
Author: Sanguthevar Rajasekaran
Publisher: CRC Press
ISBN: 1420011294
Category : Computers
Languages : en
Pages : 1226
Book Description
The ability of parallel computing to process large data sets and handle time-consuming operations has resulted in unprecedented advances in biological and scientific computing, modeling, and simulations. Exploring these recent developments, the Handbook of Parallel Computing: Models, Algorithms, and Applications provides comprehensive coverage on a
Publisher: CRC Press
ISBN: 1420011294
Category : Computers
Languages : en
Pages : 1226
Book Description
The ability of parallel computing to process large data sets and handle time-consuming operations has resulted in unprecedented advances in biological and scientific computing, modeling, and simulations. Exploring these recent developments, the Handbook of Parallel Computing: Models, Algorithms, and Applications provides comprehensive coverage on a
Author:
Publisher: IOS Press
ISBN:
Category :
Languages : en
Pages : 7289
Book Description
Publisher: IOS Press
ISBN:
Category :
Languages : en
Pages : 7289
Book Description
Abstract Machine Models for Parallel and Distributed Computing
Author: M. Kara
Publisher: IOS Press
ISBN: 9789051992670
Category : Computers
Languages : en
Pages : 236
Book Description
Abstract Machine Models have played a profound though frequently unacknowledged role in the development of modern computing systems. They provide a precise definition of vital concepts, allow system complexity to be managed by providing appropriate views of the activity under consideration, enable reasoning about the correctness and quantitative performance of proposed problem solutions, and encourage communication through a common medium of expression. Abstract Models in Parallel and Distributed computing have a particularly important role in the development of contemporary systems, encapsulating and controlling an inherently high degree of complexity. The Parallel and Distributed computing communities have traditionally considered themselves to be separate. However, there is a significant contemporary interest in both of these communities in a common hardware model; a set of workstation-class machines connected by a high-performance network. The traditional Parallel/Distributed distinction therefore appears under threat.
Publisher: IOS Press
ISBN: 9789051992670
Category : Computers
Languages : en
Pages : 236
Book Description
Abstract Machine Models have played a profound though frequently unacknowledged role in the development of modern computing systems. They provide a precise definition of vital concepts, allow system complexity to be managed by providing appropriate views of the activity under consideration, enable reasoning about the correctness and quantitative performance of proposed problem solutions, and encourage communication through a common medium of expression. Abstract Models in Parallel and Distributed computing have a particularly important role in the development of contemporary systems, encapsulating and controlling an inherently high degree of complexity. The Parallel and Distributed computing communities have traditionally considered themselves to be separate. However, there is a significant contemporary interest in both of these communities in a common hardware model; a set of workstation-class machines connected by a high-performance network. The traditional Parallel/Distributed distinction therefore appears under threat.
Programming Massively Parallel Processors
Author: David B. Kirk
Publisher: Newnes
ISBN: 0123914183
Category : Computers
Languages : en
Pages : 519
Book Description
Programming Massively Parallel Processors: A Hands-on Approach, Second Edition, teaches students how to program massively parallel processors. It offers a detailed discussion of various techniques for constructing parallel programs. Case studies are used to demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. This guide shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in depth. This revised edition contains more parallel programming examples, commonly-used libraries such as Thrust, and explanations of the latest tools. It also provides new coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more; increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism; and two new case studies (on MRI reconstruction and molecular visualization) that explore the latest applications of CUDA and GPUs for scientific research and high-performance computing. This book should be a valuable resource for advanced students, software engineers, programmers, and hardware engineers. - New coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more - Increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism - Two new case studies (on MRI reconstruction and molecular visualization) explore the latest applications of CUDA and GPUs for scientific research and high-performance computing
Publisher: Newnes
ISBN: 0123914183
Category : Computers
Languages : en
Pages : 519
Book Description
Programming Massively Parallel Processors: A Hands-on Approach, Second Edition, teaches students how to program massively parallel processors. It offers a detailed discussion of various techniques for constructing parallel programs. Case studies are used to demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. This guide shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in depth. This revised edition contains more parallel programming examples, commonly-used libraries such as Thrust, and explanations of the latest tools. It also provides new coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more; increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism; and two new case studies (on MRI reconstruction and molecular visualization) that explore the latest applications of CUDA and GPUs for scientific research and high-performance computing. This book should be a valuable resource for advanced students, software engineers, programmers, and hardware engineers. - New coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more - Increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism - Two new case studies (on MRI reconstruction and molecular visualization) explore the latest applications of CUDA and GPUs for scientific research and high-performance computing
Architectures, Languages and Techniques for Concurrent Systems
Author: World Occam and Transputer User Group. Technical Meeting
Publisher: IOS Press
ISBN: 9789051994803
Category : Computers
Languages : en
Pages : 292
Book Description
During the past fifteen years concurrency in programming languages such as Java rose and fell, and again became popular. At this moment developers advise us to avoid concurrency in programming. They are using a host of deprecated methods in the latest releases How are we to understand the love-hate relationship with what should be a widely used approach of tackling real-world problems? The aim of rchitectures, Languages and Techniques is to encourage the safe, efficient and effective use of parallel computing. It is generally agreed that concurrency is found in most real applications and that it should be natural to use concurrency in programming. However, there has grown up a myth that concurrency is "hard" and only for the hardened expert. The papers collected in this book cover the whole spectrum of concurrency, from theoretical underpinnings to applications. The message passing style of concurrency, developed in the Communicating Sequential Processes (CSP) approach, is considered, and extensions are proposed. CSP's realization in the programming language occam is used directly for applications as diverse as modeling of concurrent systems and the description of concurrent hardware. This latter application may be compared to the use of Java for the same purpose. Concurrency and the use of Java is the subject of further papers, as is the provision of CSP-like facilities in Java and C and techniques to use these languages to construct reliable concurrent systems. At a time when concurrency gives headaches, this book brings a welcome breath of fresh air. Concurrency can really be a positive way forward.
Publisher: IOS Press
ISBN: 9789051994803
Category : Computers
Languages : en
Pages : 292
Book Description
During the past fifteen years concurrency in programming languages such as Java rose and fell, and again became popular. At this moment developers advise us to avoid concurrency in programming. They are using a host of deprecated methods in the latest releases How are we to understand the love-hate relationship with what should be a widely used approach of tackling real-world problems? The aim of rchitectures, Languages and Techniques is to encourage the safe, efficient and effective use of parallel computing. It is generally agreed that concurrency is found in most real applications and that it should be natural to use concurrency in programming. However, there has grown up a myth that concurrency is "hard" and only for the hardened expert. The papers collected in this book cover the whole spectrum of concurrency, from theoretical underpinnings to applications. The message passing style of concurrency, developed in the Communicating Sequential Processes (CSP) approach, is considered, and extensions are proposed. CSP's realization in the programming language occam is used directly for applications as diverse as modeling of concurrent systems and the description of concurrent hardware. This latter application may be compared to the use of Java for the same purpose. Concurrency and the use of Java is the subject of further papers, as is the provision of CSP-like facilities in Java and C and techniques to use these languages to construct reliable concurrent systems. At a time when concurrency gives headaches, this book brings a welcome breath of fresh air. Concurrency can really be a positive way forward.
并行程序设计
Author: Foster
Publisher:
ISBN: 9787115103475
Category : Computer programming
Languages : zh-CN
Pages : 381
Book Description
国外著名高等院校信息科学与技术优秀教材
Publisher:
ISBN: 9787115103475
Category : Computer programming
Languages : zh-CN
Pages : 381
Book Description
国外著名高等院校信息科学与技术优秀教材