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Programming Massively Parallel Processors

Author: David B. Kirk

Publisher: Newnes

Published: 2012-12-31

Total Pages: 519

ISBN-13: 0123914183

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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

Book Synopsis Programming Massively Parallel Processors by : David B. Kirk

Download or read book Programming Massively Parallel Processors written by David B. Kirk and published by Newnes. This book was released on 2012-12-31 with total page 519 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Massively Parallel Processing Applications and Development

Author: L. Dekker

Publisher: Elsevier

Published: 2013-10-22

Total Pages: 996

ISBN-13: 1483290433

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The contributions of a diverse selection of international hardware and software specialists are assimilated in this book's exploration of the development of massively parallel processing (MPP). The emphasis is placed on industrial applications and collaboration with users and suppliers from within the industrial community consolidates the scope of the publication. From a practical point of view, massively parallel data processing is a vital step to further innovation in all areas where large amounts of data must be processed in parallel or in a distributed manner, e.g. fluid dynamics, meteorology, seismics, molecular engineering, image processing, parallel data base processing. MPP technology can make the speed of computation higher and substantially reduce the computational costs. However, to achieve these features, the MPP software has to be developed further to create user-friendly programming systems and to become transparent for present-day computer software. Application of novel electro-optic components and devices is continuing and will be a key for much more general and powerful architectures. Vanishing of communication hardware limitations will result in the elimination of programming bottlenecks in parallel data processing. Standardization of the functional characteristics of a programming model of massively parallel computers will become established. Then efficient programming environments can be developed. The result will be a widespread use of massively parallel processing systems in many areas of application.

Book Synopsis Massively Parallel Processing Applications and Development by : L. Dekker

Download or read book Massively Parallel Processing Applications and Development written by L. Dekker and published by Elsevier. This book was released on 2013-10-22 with total page 996 pages. Available in PDF, EPUB and Kindle. Book excerpt: The contributions of a diverse selection of international hardware and software specialists are assimilated in this book's exploration of the development of massively parallel processing (MPP). The emphasis is placed on industrial applications and collaboration with users and suppliers from within the industrial community consolidates the scope of the publication. From a practical point of view, massively parallel data processing is a vital step to further innovation in all areas where large amounts of data must be processed in parallel or in a distributed manner, e.g. fluid dynamics, meteorology, seismics, molecular engineering, image processing, parallel data base processing. MPP technology can make the speed of computation higher and substantially reduce the computational costs. However, to achieve these features, the MPP software has to be developed further to create user-friendly programming systems and to become transparent for present-day computer software. Application of novel electro-optic components and devices is continuing and will be a key for much more general and powerful architectures. Vanishing of communication hardware limitations will result in the elimination of programming bottlenecks in parallel data processing. Standardization of the functional characteristics of a programming model of massively parallel computers will become established. Then efficient programming environments can be developed. The result will be a widespread use of massively parallel processing systems in many areas of application.

Massively Parallel Processing

Author:

Publisher:

Published: 1994

Total Pages: 973

ISBN-13: 9780444817846

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Book Synopsis Massively Parallel Processing by :

Download or read book Massively Parallel Processing written by and published by . This book was released on 1994 with total page 973 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Massively Parallel Processing Applications and Development

Author: L. Dekker

Publisher: Elsevier

Published: 2013-10-22

Total Pages: 996

ISBN-13: 1483290433

DOWNLOAD EBOOK

Book Synopsis Massively Parallel Processing Applications and Development by : L. Dekker

Programming Massively Parallel Processors

Author: Wen-mei W. Hwu

Publisher: Morgan Kaufmann

Published: 2022-05-28

Total Pages: 581

ISBN-13: 0323984630

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Programming Massively Parallel Processors: A Hands-on Approach shows both students and professionals alike the basic concepts of parallel programming and GPU architecture. Concise, intuitive, and practical, it is based on years of road-testing in the authors' own parallel computing courses. Various techniques for constructing and optimizing parallel programs are explored in detail, while case studies demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. The new edition includes updated coverage of CUDA, including the newer libraries such as CuDNN. New chapters on frequently used parallel patterns have been added, and case studies have been updated to reflect current industry practices. Parallel Patterns Introduces new chapters on frequently used parallel patterns (stencil, reduction, sorting) and major improvements to previous chapters (convolution, histogram, sparse matrices, graph traversal, deep learning) Ampere Includes a new chapter focused on GPU architecture and draws examples from recent architecture generations, including Ampere Systematic Approach Incorporates major improvements to abstract discussions of problem decomposition strategies and performance considerations, with a new optimization checklist

Book Synopsis Programming Massively Parallel Processors by : Wen-mei W. Hwu

Download or read book Programming Massively Parallel Processors written by Wen-mei W. Hwu and published by Morgan Kaufmann. This book was released on 2022-05-28 with total page 581 pages. Available in PDF, EPUB and Kindle. Book excerpt: Programming Massively Parallel Processors: A Hands-on Approach shows both students and professionals alike the basic concepts of parallel programming and GPU architecture. Concise, intuitive, and practical, it is based on years of road-testing in the authors' own parallel computing courses. Various techniques for constructing and optimizing parallel programs are explored in detail, while case studies demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. The new edition includes updated coverage of CUDA, including the newer libraries such as CuDNN. New chapters on frequently used parallel patterns have been added, and case studies have been updated to reflect current industry practices. Parallel Patterns Introduces new chapters on frequently used parallel patterns (stencil, reduction, sorting) and major improvements to previous chapters (convolution, histogram, sparse matrices, graph traversal, deep learning) Ampere Includes a new chapter focused on GPU architecture and draws examples from recent architecture generations, including Ampere Systematic Approach Incorporates major improvements to abstract discussions of problem decomposition strategies and performance considerations, with a new optimization checklist

Using OpenCL

Author: Janusz Kowalik

Publisher: IOS Press

Published: 2012

Total Pages: 312

ISBN-13: 1614990298

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Book Synopsis Using OpenCL by : Janusz Kowalik

Download or read book Using OpenCL written by Janusz Kowalik and published by IOS Press. This book was released on 2012 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Programming Massively Parallel Processors

Author: David Kirk

Publisher: Morgan Kaufmann

Published: 2010

Total Pages: 258

ISBN-13: 9780123814722

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This work demonstrates the basic concepts of parallel programming and GPU architecture. It explores various techniques for constructing parallel programs in detail and features case studies to illuminate the development process.

Book Synopsis Programming Massively Parallel Processors by : David Kirk

Download or read book Programming Massively Parallel Processors written by David Kirk and published by Morgan Kaufmann. This book was released on 2010 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work demonstrates the basic concepts of parallel programming and GPU architecture. It explores various techniques for constructing parallel programs in detail and features case studies to illuminate the development process.

The Massively Parallel Processing System JUMP-1

Author: Hidehiko Tanaka

Publisher: IOS Press

Published: 1996

Total Pages: 258

ISBN-13:

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The work features the development of the fundamental technologies for massively parallel processing, covering research on the applications, the language, the operating system and the hardware architecture. Also the present status and future plans are addressed. The following topics are discussed in the section on applications: the MGCG Method; Parallelization of FEM; Modeling of Group Behaviors; Parallel Visualization; Functional Memory Type Parallel Processing; a Parallel Reduction Algorithm and Combination Algorithm. As for the programming languages, the SIMD-Based Language NCX, the Dataflow-based Language V and the Parallel Object-Oriented Language A-NETL are discussed. In the chapter on operating systems, the subjects Design Philosophy and Objectives; COS Software Architecture and Elements of the Operating System are - amongst others - addressed. Finally, the part on hardware architecture covers an Overview of the JUMP-1 System; Memory Architecture; Network Architecture; I/O Architecture and Implementation Issues. Massively parallel processing is expected to play a crucial role in the development of almost all advanced technologies for the 21st century. This book is intended to serve a large variety of researchers in the area of parallel computing.

Book Synopsis The Massively Parallel Processing System JUMP-1 by : Hidehiko Tanaka

Download or read book The Massively Parallel Processing System JUMP-1 written by Hidehiko Tanaka and published by IOS Press. This book was released on 1996 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: The work features the development of the fundamental technologies for massively parallel processing, covering research on the applications, the language, the operating system and the hardware architecture. Also the present status and future plans are addressed. The following topics are discussed in the section on applications: the MGCG Method; Parallelization of FEM; Modeling of Group Behaviors; Parallel Visualization; Functional Memory Type Parallel Processing; a Parallel Reduction Algorithm and Combination Algorithm. As for the programming languages, the SIMD-Based Language NCX, the Dataflow-based Language V and the Parallel Object-Oriented Language A-NETL are discussed. In the chapter on operating systems, the subjects Design Philosophy and Objectives; COS Software Architecture and Elements of the Operating System are - amongst others - addressed. Finally, the part on hardware architecture covers an Overview of the JUMP-1 System; Memory Architecture; Network Architecture; I/O Architecture and Implementation Issues. Massively parallel processing is expected to play a crucial role in the development of almost all advanced technologies for the 21st century. This book is intended to serve a large variety of researchers in the area of parallel computing.

Parallel Processing for Scientific Computing

Author: Michael A. Heroux

Publisher: SIAM

Published: 2006-01-01

Total Pages: 421

ISBN-13: 9780898718133

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Parallel processing has been an enabling technology in scientific computing for more than 20 years. This book is the first in-depth discussion of parallel computing in 10 years; it reflects the mix of topics that mathematicians, computer scientists, and computational scientists focus on to make parallel processing effective for scientific problems. Presently, the impact of parallel processing on scientific computing varies greatly across disciplines, but it plays a vital role in most problem domains and is absolutely essential in many of them. Parallel Processing for Scientific Computing is divided into four parts: The first concerns performance modeling, analysis, and optimization; the second focuses on parallel algorithms and software for an array of problems common to many modeling and simulation applications; the third emphasizes tools and environments that can ease and enhance the process of application development; and the fourth provides a sampling of applications that require parallel computing for scaling to solve larger and realistic models that can advance science and engineering.

Book Synopsis Parallel Processing for Scientific Computing by : Michael A. Heroux

Download or read book Parallel Processing for Scientific Computing written by Michael A. Heroux and published by SIAM. This book was released on 2006-01-01 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: Parallel processing has been an enabling technology in scientific computing for more than 20 years. This book is the first in-depth discussion of parallel computing in 10 years; it reflects the mix of topics that mathematicians, computer scientists, and computational scientists focus on to make parallel processing effective for scientific problems. Presently, the impact of parallel processing on scientific computing varies greatly across disciplines, but it plays a vital role in most problem domains and is absolutely essential in many of them. Parallel Processing for Scientific Computing is divided into four parts: The first concerns performance modeling, analysis, and optimization; the second focuses on parallel algorithms and software for an array of problems common to many modeling and simulation applications; the third emphasizes tools and environments that can ease and enhance the process of application development; and the fourth provides a sampling of applications that require parallel computing for scaling to solve larger and realistic models that can advance science and engineering.

Input/Output Intensive Massively Parallel Computing

Author: Peter Brezany

Publisher: Springer Science & Business Media

Published: 1997-04-09

Total Pages: 318

ISBN-13: 9783540628408

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Massively parallel processing is currently the most promising answer to the quest for increased computer performance. This has resulted in the development of new programming languages and programming environments and has stimulated the design and production of massively parallel supercomputers. The efficiency of concurrent computation and input/output essentially depends on the proper utilization of specific architectural features of the underlying hardware. This book focuses on development of runtime systems supporting execution of parallel code and on supercompilers automatically parallelizing code written in a sequential language. Fortran has been chosen for the presentation of the material because of its dominant role in high-performance programming for scientific and engineering applications.

Book Synopsis Input/Output Intensive Massively Parallel Computing by : Peter Brezany

Download or read book Input/Output Intensive Massively Parallel Computing written by Peter Brezany and published by Springer Science & Business Media. This book was released on 1997-04-09 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: Massively parallel processing is currently the most promising answer to the quest for increased computer performance. This has resulted in the development of new programming languages and programming environments and has stimulated the design and production of massively parallel supercomputers. The efficiency of concurrent computation and input/output essentially depends on the proper utilization of specific architectural features of the underlying hardware. This book focuses on development of runtime systems supporting execution of parallel code and on supercompilers automatically parallelizing code written in a sequential language. Fortran has been chosen for the presentation of the material because of its dominant role in high-performance programming for scientific and engineering applications.