Structured 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 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

Produk Detail:

  • Author : Michael McCool
  • Publisher : Elsevier
  • Pages : 432 pages
  • ISBN : 0123914434
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKStructured Parallel Programming

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 D. McCool,Arch D. Robison,James Reinders
  • Publisher : Elsevier
  • Release : 24 January 2021
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 : Unknown Publisher
  • Release : 24 January 2021
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 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

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

An Introduction to Parallel Programming

An Introduction to Parallel Programming
  • Author : Peter Pacheco
  • Publisher : Elsevier
  • Release : 17 February 2011
GET THIS BOOKAn Introduction to Parallel Programming

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

Pro TBB

Pro TBB
  • Author : Michael Voss,Rafael Asenjo,James Reinders
  • Publisher : Apress
  • Release : 09 July 2019
GET THIS BOOKPro TBB

This open access book is a modern guide for all C++ programmers to learn Threading Building Blocks (TBB). Written by TBB and parallel programming experts, this book reflects their collective decades of experience in developing and teaching parallel programming with TBB, offering their insights in an approachable manner. Throughout the book the authors present numerous examples and best practices to help you become an effective TBB programmer and leverage the power of parallel systems. Pro TBB starts with the basics,

Fortran 2018 with Parallel Programming

Fortran 2018 with Parallel Programming
  • Author : Subrata Ray
  • Publisher : CRC Press
  • Release : 22 August 2019
GET THIS BOOKFortran 2018 with Parallel Programming

The programming language Fortran dates back to 1957 when a team of IBM engineers released the first Fortran Compiler. During the past 60 years, the language had been revised and updated several times to incorporate more features to enable writing clean and structured computer programs. The present version is Fortran 2018. Since the dawn of the computer era, there had been a constant demand for a “larger” and “faster” machine. To increase the speed there are three hurdles. The density of the active

Foundations of Parallel Programming

Foundations of Parallel Programming
  • Author : D. B. Skillicorn
  • Publisher : Cambridge University Press
  • Release : 22 August 2005
GET THIS BOOKFoundations of Parallel Programming

The major reason for the lack of use of parallel computing is the mismatch between the complexity and variety of parallel hardware, and the software development tools to program it. The cost of developing software needs to be amortised over decades, but the platforms on which it executes change every few years, requiring complete rewrites. The evident cost-effectiveness of parallel computation has not been realized because of this mismatch. This book presents an integrated approach to parallel software development by

Parallel Programming

Parallel Programming
  • Author : Thomas Rauber,Gudula Rünger
  • Publisher : Springer Science & Business Media
  • Release : 10 March 2010
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

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

Multithreading for Visual Effects

Multithreading for Visual Effects
  • Author : Martin Watt,Erwin Coumans,George ElKoura,Ronald Henderson,Manuel Kraemer,Jeff Lait,James Reinders
  • Publisher : CRC Press
  • Release : 29 July 2014
GET THIS BOOKMultithreading for Visual Effects

Tackle the Challenges of Parallel Programming in the Visual Effects Industry In Multithreading for Visual Effects, developers from DreamWorks Animation, Pixar, Side Effects, Intel, and AMD share their successes and failures in the messy real-world application area of production software. They provide practical advice on multithreading techniques and visual effects used in popular visual effects libraries (such as Bullet, OpenVDB, and OpenSubdiv), one of the industry’s leading visual effects packages (Houdini), and proprietary animation systems. This information is valuable