Structured Parallel Programming

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

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  • Author : Michael D. McCool
  • Publisher : Elsevier
  • Pages : 406 pages
  • ISBN : 0124159931
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKStructured Parallel Programming

Structured Parallel Programming

Structured Parallel Programming
  • Author : Michael D. McCool,Arch D. Robison,James Reinders
  • Publisher : Elsevier
  • Release : 24 January 2022
GET THIS BOOKStructured Parallel Programming

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

Structured Parallel Programming

Structured Parallel Programming
  • Author : Michael McCool,James Reinders,Arch Robison
  • Publisher : Elsevier
  • Release : 31 July 2012
GET THIS BOOKStructured Parallel Programming

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

Structured Parallel Programming

Structured Parallel Programming
  • Author : Michael McCool,James Reinders,Arch Robison
  • Publisher : Unknown Publisher
  • Release : 24 January 2022
GET THIS BOOKStructured Parallel Programming

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

Patterns for Parallel Programming

Patterns for Parallel Programming
  • Author : Timothy G. Mattson,Beverly Sanders,Berna Massingill
  • Publisher : Pearson Education
  • Release : 15 September 2004
GET THIS BOOKPatterns for Parallel Programming

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

Parallel Scientific Computation

Parallel Scientific Computation
  • Author : Rob H. Bisseling
  • Publisher : Oxford University Press
  • Release : 30 September 2020
GET THIS BOOKParallel Scientific Computation

Building upon the wide-ranging success of the first edition, Parallel Scientific Computation presents a single unified approach to using a range of parallel computers, from a small desktop computer to a massively parallel computer. The author explains how to use the bulk synchronous parallel (BSP) model to design and implement parallel algorithms in the areas of scientific computing and big data, and provides a full treatment of core problems in these areas, starting from a high-level problem description, via a

Programming Models for Parallel Computing

Programming Models for Parallel Computing
  • Author : Pavan Balaji
  • Publisher : MIT Press
  • Release : 06 November 2015
GET THIS BOOKProgramming Models for Parallel Computing

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

Intel Xeon Phi Coprocessor High Performance Programming

Intel Xeon Phi Coprocessor High Performance Programming
  • Author : James Jeffers,James Reinders
  • Publisher : Newnes
  • Release : 11 February 2013
GET THIS BOOKIntel Xeon Phi Coprocessor High Performance Programming

Authors Jim Jeffers and James Reinders spent two years helping educate customers about the prototype and pre-production hardware before Intel introduced the first Intel Xeon Phi coprocessor. They have distilled their own experiences coupled with insights from many expert customers, Intel Field Engineers, Application Engineers and Technical Consulting Engineers, to create this authoritative first book on the essentials of programming for this new architecture and these new products. This book is useful even before you ever touch a system with

Parallel Programming

Parallel Programming
  • Author : Thomas Rauber,Gudula Rünger
  • Publisher : Springer Science & Business Media
  • Release : 13 June 2013
GET THIS BOOKParallel Programming

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

Encyclopedia of Parallel Computing

Encyclopedia of Parallel Computing
  • Author : David Padua
  • Publisher : Springer Science & Business Media
  • Release : 08 September 2011
GET THIS BOOKEncyclopedia of Parallel Computing

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

Parallel Image Processing

Parallel Image Processing
  • Author : T. Bräunl,S. Feyrer,W. Rapf,M. Reinhardt
  • Publisher : Springer Science & Business Media
  • Release : 17 April 2013
GET THIS BOOKParallel Image Processing

This book introduces the area of image processing and data-parallel processing. It covers a number of standard algorithms in image processing and describes their parallel implementation. The programming language chosen for all examples is a structured parallel programming language which is ideal for educational purposes. It has a number of advantages over C, and since all image processing tasks are inherently parallel, using a parallel language for presentation actually simplifies the subject matter. This results in shorter source codes and