Structured Parallel Programming

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Publisher : Elsevier
ISBN 13 : 0124159931
Total Pages : 434 pages
Book Rating : 4.1/5 (241 download)

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Book Synopsis Structured Parallel Programming by : Michael McCool

Download or read book Structured Parallel Programming written by Michael McCool and published by Elsevier. This book was released on 2012-06-25 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: Programming is now parallel programming. Much as structured programming revolutionized traditional serial programming decades ago, a new kind of structured programming, based on patterns, is relevant to parallel programming today. Parallel computing experts and industry insiders Michael McCool, Arch Robison, and James Reinders describe how to design and implement maintainable and efficient parallel algorithms using a pattern-based approach. They present both theory and practice, and give detailed concrete examples using multiple programming models. Examples are primarily given using two of the most popular and cutting edge programming models for parallel programming: Threading Building Blocks, and Cilk Plus. These architecture-independent models enable easy integration into existing applications, preserve investments in existing code, and speed the development of parallel applications. Examples from realistic contexts illustrate patterns and themes in parallel algorithm design that are widely applicable regardless of implementation technology. The patterns-based approach offers structure and insight that developers can apply to a variety of parallel programming models Develops a composable, structured, scalable, and machine-independent approach to parallel computing Includes detailed examples in both Cilk Plus and the latest Threading Building Blocks, which support a wide variety of computers

Structured Parallel Programming

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Author :
Publisher : Elsevier
ISBN 13 : 0123914434
Total Pages : 433 pages
Book Rating : 4.1/5 (239 download)

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Book Synopsis Structured Parallel Programming by : Michael McCool

Download or read book Structured Parallel Programming written by Michael McCool and published by Elsevier. This book was released on 2012-07-31 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: Structured Parallel Programming offers the simplest way for developers to learn patterns for high-performance parallel programming. Written by parallel computing experts and industry insiders Michael McCool, Arch Robison, and James Reinders, this book explains how to design and implement maintainable and efficient parallel algorithms using a composable, structured, scalable, and machine-independent approach to parallel computing. It presents both theory and practice, and provides detailed concrete examples using multiple programming models. The examples in this book are presented using two of the most popular and cutting edge programming models for parallel programming: Threading Building Blocks, and Cilk Plus. These architecture-independent models enable easy integration into existing applications, preserve investments in existing code, and speed the development of parallel applications. Examples from realistic contexts illustrate patterns and themes in parallel algorithm design that are widely applicable regardless of implementation technology. Software developers, computer programmers, and software architects will find this book extremely helpful. The patterns-based approach offers structure and insight that developers can apply to a variety of parallel programming models Develops a composable, structured, scalable, and machine-independent approach to parallel computing Includes detailed examples in both Cilk Plus and the latest Threading Building Blocks, which support a wide variety of computers

Structured Parallel Programming

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Author :
Publisher :
ISBN 13 :
Total Pages : 432 pages
Book Rating : 4.:/5 (11 download)

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Book Synopsis Structured Parallel Programming by : Michael McCool

Download or read book Structured Parallel Programming written by Michael McCool and published by . This book was released on 2012 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Structured Parallel Programming offers the simplest way for developers to learn patterns for high-performance parallel programming. Written by parallel computing experts and industry insiders Michael McCool, Arch Robison, and James Reinders, this book explains how to design and implement maintainable and efficient parallel algorithms using a composable, structured, scalable, and machine-independent approach to parallel computing. It presents both theory and practice, and provides detailed concrete examples using multiple programming models. The examples in this book are presented using two of the most popular and cutting edge programming models for parallel programming: Threading Building Blocks, and Cilk Plus. These architecture-independent models enable easy integration into existing applications, preserve investments in existing code, and speed the development of parallel applications. Examples from realistic contexts illustrate patterns and themes in parallel algorithm design that are widely applicable regardless of implementation technology. Software developers, computer programmers, and software architects will find this book extremely helpful. The patterns-based approach offers structure and insight that developers can apply to a variety of parallel programming models Develops a composable, structured, scalable, and machine-independent approach to parallel computing Includes detailed examples in both Cilk Plus and the latest Threading Building Blocks, which support a wide variety of computers.

Towards Structured Parallel Computing

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Author :
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (897 download)

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Book Synopsis Towards Structured Parallel Computing by : F. Gao

Download or read book Towards Structured Parallel Computing written by F. Gao and published by . This book was released on 20?? with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Patterns for Parallel Programming

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Author :
Publisher : Pearson Education
ISBN 13 : 0321630033
Total Pages : 786 pages
Book Rating : 4.3/5 (216 download)

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Book Synopsis Patterns for Parallel Programming by : Timothy G. Mattson

Download or read book Patterns for Parallel Programming written by Timothy G. Mattson and published by Pearson Education. This book was released on 2004-09-15 with total page 786 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Parallel Programming Guide for Every Software Developer From grids and clusters to next-generation game consoles, parallel computing is going mainstream. Innovations such as Hyper-Threading Technology, HyperTransport Technology, and multicore microprocessors from IBM, Intel, and Sun are accelerating the movement's growth. Only one thing is missing: programmers with the skills to meet the soaring demand for parallel software. That's where Patterns for Parallel Programming comes in. It's the first parallel programming guide written specifically to serve working software developers, not just computer scientists. The authors introduce a complete, highly accessible pattern language that will help any experienced developer "think parallel"-and start writing effective parallel code almost immediately. Instead of formal theory, they deliver proven solutions to the challenges faced by parallel programmers, and pragmatic guidance for using today's parallel APIs in the real world. Coverage includes: Understanding the parallel computing landscape and the challenges faced by parallel developers Finding the concurrency in a software design problem and decomposing it into concurrent tasks Managing the use of data across tasks Creating an algorithm structure that effectively exploits the concurrency you've identified Connecting your algorithmic structures to the APIs needed to implement them Specific software constructs for implementing parallel programs Working with today's leading parallel programming environments: OpenMP, MPI, and Java Patterns have helped thousands of programmers master object-oriented development and other complex programming technologies. With this book, you will learn that they're the best way to master parallel programming too.

Introduction to Parallel Computing

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Author :
Publisher : Addison Wesley Longman
ISBN 13 :
Total Pages : 632 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Introduction to Parallel Computing by : Vipin Kumar

Download or read book Introduction to Parallel Computing written by Vipin Kumar and published by Addison Wesley Longman. This book was released on 1994 with total page 632 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematics of Computing -- Parallelism.

Parallel Programming

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 3642378013
Total Pages : 523 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Parallel Programming by : Thomas Rauber

Download or read book Parallel Programming written by Thomas Rauber and published by Springer Science & Business Media. This book was released on 2013-06-13 with total page 523 pages. Available in PDF, EPUB and Kindle. Book excerpt: Innovations in hardware architecture, like hyper-threading or multicore processors, mean that parallel computing resources are available for inexpensive desktop computers. In only a few years, many standard software products will be based on concepts of parallel programming implemented on such hardware, and the range of applications will be much broader than that of scientific computing, up to now the main application area for parallel computing. Rauber and Rünger take up these recent developments in processor architecture by giving detailed descriptions of parallel programming techniques that are necessary for developing efficient programs for multicore processors as well as for parallel cluster systems and supercomputers. Their book is structured in three main parts, covering all areas of parallel computing: the architecture of parallel systems, parallel programming models and environments, and the implementation of efficient application algorithms. The emphasis lies on parallel programming techniques needed for different architectures. For this second edition, all chapters have been carefully revised. The chapter on architecture of parallel systems has been updated considerably, with a greater emphasis on the architecture of multicore systems and adding new material on the latest developments in computer architecture. Lastly, a completely new chapter on general-purpose GPUs and the corresponding programming techniques has been added. The main goal of the book is to present parallel programming techniques that can be used in many situations for a broad range of application areas and which enable the reader to develop correct and efficient parallel programs. Many examples and exercises are provided to show how to apply the techniques. The book can be used as both a textbook for students and a reference book for professionals. The material presented has been used for courses in parallel programming at different universities for many years.

Towards Structured Parallel Computing

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Author :
Publisher :
ISBN 13 :
Total Pages : 37 pages
Book Rating : 4.:/5 (226 download)

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Book Synopsis Towards Structured Parallel Computing by : Feng Gao

Download or read book Towards Structured Parallel Computing written by Feng Gao and published by . This book was released on 1989 with total page 37 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Parallel Programming

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 364204817X
Total Pages : 463 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Parallel Programming by : Thomas Rauber

Download or read book Parallel Programming written by Thomas Rauber and published by Springer Science & Business Media. This book was released on 2010-03-10 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: Innovations in hardware architecture, like hyper-threading or multicore processors, mean that parallel computing resources are available for inexpensive desktop computers. In only a few years, many standard software products will be based on concepts of parallel programming implemented on such hardware, and the range of applications will be much broader than that of scientific computing, up to now the main application area for parallel computing. Rauber and Rünger take up these recent developments in processor architecture by giving detailed descriptions of parallel programming techniques that are necessary for developing efficient programs for multicore processors as well as for parallel cluster systems and supercomputers. Their book is structured in three main parts, covering all areas of parallel computing: the architecture of parallel systems, parallel programming models and environments, and the implementation of efficient application algorithms. The emphasis lies on parallel programming techniques needed for different architectures. The main goal of the book is to present parallel programming techniques that can be used in many situations for many application areas and which enable the reader to develop correct and efficient parallel programs. Many examples and exercises are provided to show how to apply the techniques. The book can be used as both a textbook for students and a reference book for professionals. The presented material has been used for courses in parallel programming at different universities for many years.

Parallel Computer Architecture

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Author :
Publisher : Gulf Professional Publishing
ISBN 13 : 1558603433
Total Pages : 1056 pages
Book Rating : 4.5/5 (586 download)

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Book Synopsis Parallel Computer Architecture by : David Culler

Download or read book Parallel Computer Architecture written by David Culler and published by Gulf Professional Publishing. This book was released on 1999 with total page 1056 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book outlines a set of issues that are critical to all of parallel architecture--communication latency, communication bandwidth, and coordination of cooperative work (across modern designs). It describes the set of techniques available in hardware and in software to address each issues and explore how the various techniques interact.

Parallel Scientific Computing in C++ and MPI

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Publisher : Cambridge University Press
ISBN 13 : 110749477X
Total Pages : 640 pages
Book Rating : 4.1/5 (74 download)

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Book Synopsis Parallel Scientific Computing in C++ and MPI by : George Em Karniadakis

Download or read book Parallel Scientific Computing in C++ and MPI written by George Em Karniadakis and published by Cambridge University Press. This book was released on 2003-06-16 with total page 640 pages. Available in PDF, EPUB and Kindle. Book excerpt: Numerical algorithms, modern programming techniques, and parallel computing are often taught serially across different courses and different textbooks. The need to integrate concepts and tools usually comes only in employment or in research - after the courses are concluded - forcing the student to synthesise what is perceived to be three independent subfields into one. This book provides a seamless approach to stimulate the student simultaneously through the eyes of multiple disciplines, leading to enhanced understanding of scientific computing as a whole. The book includes both basic as well as advanced topics and places equal emphasis on the discretization of partial differential equations and on solvers. Some of the advanced topics include wavelets, high-order methods, non-symmetric systems, and parallelization of sparse systems. The material covered is suited to students from engineering, computer science, physics and mathematics.

High Performance Parallelism Pearls Volume Two

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Author :
Publisher : Morgan Kaufmann
ISBN 13 : 012803890X
Total Pages : 574 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis High Performance Parallelism Pearls Volume Two by : Jim Jeffers

Download or read book High Performance Parallelism Pearls Volume Two written by Jim Jeffers and published by Morgan Kaufmann. This book was released on 2015-07-28 with total page 574 pages. Available in PDF, EPUB and Kindle. Book excerpt: High Performance Parallelism Pearls Volume 2 offers another set of examples that demonstrate how to leverage parallelism. Similar to Volume 1, the techniques included here explain how to use processors and coprocessors with the same programming – illustrating the most effective ways to combine Xeon Phi coprocessors with Xeon and other multicore processors. The book includes examples of successful programming efforts, drawn from across industries and domains such as biomed, genetics, finance, manufacturing, imaging, and more. Each chapter in this edited work includes detailed explanations of the programming techniques used, while showing high performance results on both Intel Xeon Phi coprocessors and multicore processors. Learn from dozens of new examples and case studies illustrating "success stories" demonstrating not just the features of Xeon-powered systems, but also how to leverage parallelism across these heterogeneous systems. Promotes write-once, run-anywhere coding, showing how to code for high performance on multicore processors and Xeon Phi Examples from multiple vertical domains illustrating real-world use of Xeon Phi coprocessors Source code available for download to facilitate further exploration

Parallel Programming Using C++

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Publisher : MIT Press
ISBN 13 : 9780262731188
Total Pages : 796 pages
Book Rating : 4.7/5 (311 download)

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Book Synopsis Parallel Programming Using C++ by : Gregory V. Wilson

Download or read book Parallel Programming Using C++ written by Gregory V. Wilson and published by MIT Press. This book was released on 1996-07-08 with total page 796 pages. Available in PDF, EPUB and Kindle. Book excerpt: Foreword by Bjarne Stroustrup Software is generally acknowledged to be the single greatest obstacle preventing mainstream adoption of massively-parallel computing. While sequential applications are routinely ported to platforms ranging from PCs to mainframes, most parallel programs only ever run on one type of machine. One reason for this is that most parallel programming systems have failed to insulate their users from the architectures of the machines on which they have run. Those that have been platform-independent have usually also had poor performance. Many researchers now believe that object-oriented languages may offer a solution. By hiding the architecture-specific constructs required for high performance inside platform-independent abstractions, parallel object-oriented programming systems may be able to combine the speed of massively-parallel computing with the comfort of sequential programming. Parallel Programming Using C++ describes fifteen parallel programming systems based on C++, the most popular object-oriented language of today. These systems cover the whole spectrum of parallel programming paradigms, from data parallelism through dataflow and distributed shared memory to message-passing control parallelism. For the parallel programming community, a common parallel application is discussed in each chapter, as part of the description of the system itself. By comparing the implementations of the polygon overlay problem in each system, the reader can get a better sense of their expressiveness and functionality for a common problem. For the systems community, the chapters contain a discussion of the implementation of the various compilers and runtime systems. In addition to discussing the performance of polygon overlay, several of the contributors also discuss the performance of other, more substantial, applications. For the research community, the contributors discuss the motivations for and philosophy of their systems. As well, many of the chapters include critiques that complete the research arc by pointing out possible future research directions. Finally, for the object-oriented community, there are many examples of how encapsulation, inheritance, and polymorphism can be used to control the complexity of developing, debugging, and tuning parallel software.

Towards Structured Parallel Computing. Part I. A Theory of Algorithm Design and Analysis for Distributed-memory Architectures

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Author :
Publisher :
ISBN 13 :
Total Pages : 37 pages
Book Rating : 4.:/5 (226 download)

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Book Synopsis Towards Structured Parallel Computing. Part I. A Theory of Algorithm Design and Analysis for Distributed-memory Architectures by : University of British Columbia. Dept. of Computer Science

Download or read book Towards Structured Parallel Computing. Part I. A Theory of Algorithm Design and Analysis for Distributed-memory Architectures written by University of British Columbia. Dept. of Computer Science and published by . This book was released on 1989 with total page 37 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "This paper advocates a architecture-independent, hierarchical approach to algorithm design and analysis for distributed-memory architectures, in contrast to the current trend of tailoring algorithms toward specific architectures. We show that, rather surprisingly, this new approach can achieve uniformity without sacrificing optimality. In our particular framework there are three levels of algorithm design: design of a network-independent algorithm in a network-independent programming environment, design of virtual architectures for the algorithm, and design of emulations of the virtual architectures on physical architectures.

Encyclopedia of Parallel Computing

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Publisher : Springer Science & Business Media
ISBN 13 : 0387097651
Total Pages : 2211 pages
Book Rating : 4.3/5 (87 download)

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Book Synopsis Encyclopedia of Parallel Computing by : David Padua

Download or read book Encyclopedia of Parallel Computing written by David Padua and published by Springer Science & Business Media. This book was released on 2011-09-08 with total page 2211 pages. Available in PDF, EPUB and Kindle. Book excerpt: Containing over 300 entries in an A-Z format, the Encyclopedia of Parallel Computing provides easy, intuitive access to relevant information for professionals and researchers seeking access to any aspect within the broad field of parallel computing. Topics for this comprehensive reference were selected, written, and peer-reviewed by an international pool of distinguished researchers in the field. The Encyclopedia is broad in scope, covering machine organization, programming languages, algorithms, and applications. Within each area, concepts, designs, and specific implementations are presented. The highly-structured essays in this work comprise synonyms, a definition and discussion of the topic, bibliographies, and links to related literature. Extensive cross-references to other entries within the Encyclopedia support efficient, user-friendly searchers for immediate access to useful information. Key concepts presented in the Encyclopedia of Parallel Computing include; laws and metrics; specific numerical and non-numerical algorithms; asynchronous algorithms; libraries of subroutines; benchmark suites; applications; sequential consistency and cache coherency; machine classes such as clusters, shared-memory multiprocessors, special-purpose machines and dataflow machines; specific machines such as Cray supercomputers, IBM’s cell processor and Intel’s multicore machines; race detection and auto parallelization; parallel programming languages, synchronization primitives, collective operations, message passing libraries, checkpointing, and operating systems. Topics covered: Speedup, Efficiency, Isoefficiency, Redundancy, Amdahls law, Computer Architecture Concepts, Parallel Machine Designs, Benmarks, Parallel Programming concepts & design, Algorithms, Parallel applications. This authoritative reference will be published in two formats: print and online. The online edition features hyperlinks to cross-references and to additional significant research. Related Subjects: supercomputing, high-performance computing, distributed computing

Neural Network Parallel Computing

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Publisher : Springer Science & Business Media
ISBN 13 : 1461536421
Total Pages : 237 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Neural Network Parallel Computing by : Yoshiyasu Takefuji

Download or read book Neural Network Parallel Computing written by Yoshiyasu Takefuji and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural Network Parallel Computing is the first book available to the professional market on neural network computing for optimization problems. This introductory book is not only for the novice reader, but for experts in a variety of areas including parallel computing, neural network computing, computer science, communications, graph theory, computer aided design for VLSI circuits, molecular biology, management science, and operations research. The goal of the book is to facilitate an understanding as to the uses of neural network models in real-world applications. Neural Network Parallel Computing presents a major breakthrough in science and a variety of engineering fields. The computational power of neural network computing is demonstrated by solving numerous problems such as N-queen, crossbar switch scheduling, four-coloring and k-colorability, graph planarization and channel routing, RNA secondary structure prediction, knight's tour, spare allocation, sorting and searching, and tiling. Neural Network Parallel Computing is an excellent reference for researchers in all areas covered by the book. Furthermore, the text may be used in a senior or graduate level course on the topic.

An Introduction to Parallel Programming

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Author :
Publisher : Elsevier
ISBN 13 : 0080921442
Total Pages : 393 pages
Book Rating : 4.0/5 (89 download)

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Book Synopsis An Introduction to Parallel Programming by : Peter Pacheco

Download or read book An Introduction to Parallel Programming written by Peter Pacheco and published by Elsevier. This book was released on 2011-02-17 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to Parallel Programming is the first undergraduate text to directly address compiling and running parallel programs on the new multi-core and cluster architecture. It explains how to design, debug, and evaluate the performance of distributed and shared-memory programs. The author Peter Pacheco uses a tutorial approach to show students how to develop effective parallel programs with MPI, Pthreads, and OpenMP, starting with small programming examples and building progressively to more challenging ones. The text is written for students in undergraduate parallel programming or parallel computing courses designed for the computer science major or as a service course to other departments; professionals with no background in parallel computing. Takes a tutorial approach, starting with small programming examples and building progressively to more challenging examples Focuses on designing, debugging and evaluating the performance of distributed and shared-memory programs Explains how to develop parallel programs using MPI, Pthreads, and OpenMP programming models