Introduction to Parallel Processing Book [PDF] Download

Download the fantastic book titled Introduction to Parallel Processing written by Behrooz Parhami, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Introduction to Parallel Processing", which was released on 11 April 2006. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Business & Economics genre.

Summary of Introduction to Parallel Processing by Behrooz Parhami PDF

THE CONTEXT OF PARALLEL PROCESSING The field of digital computer architecture has grown explosively in the past two decades. Through a steady stream of experimental research, tool-building efforts, and theoretical studies, the design of an instruction-set architecture, once considered an art, has been transformed into one of the most quantitative branches of computer technology. At the same time, better understanding of various forms of concurrency, from standard pipelining to massive parallelism, and invention of architectural structures to support a reasonably efficient and user-friendly programming model for such systems, has allowed hardware performance to continue its exponential growth. This trend is expected to continue in the near future. This explosive growth, linked with the expectation that performance will continue its exponential rise with each new generation of hardware and that (in stark contrast to software) computer hardware will function correctly as soon as it comes off the assembly line, has its down side. It has led to unprecedented hardware complexity and almost intolerable dev- opment costs. The challenge facing current and future computer designers is to institute simplicity where we now have complexity; to use fundamental theories being developed in this area to gain performance and ease-of-use benefits from simpler circuits; to understand the interplay between technological capabilities and limitations, on the one hand, and design decisions based on user and application requirements on the other.


Detail About Introduction to Parallel Processing PDF

  • Author : Behrooz Parhami
  • Publisher : Springer Science & Business Media
  • Genre : Business & Economics
  • Total Pages : 532 pages
  • ISBN : 0306469642
  • PDF File Size : 23,5 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Introduction to Parallel Processing

Introduction to Parallel Processing
  • Publisher : Springer Science & Business Media
  • File Size : 30,6 Mb
  • Release Date : 11 April 2006
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THE CONTEXT OF PARALLEL PROCESSING The field of digital computer architecture has grown explosively in the past two decades. Through a steady stream of experimental research, tool-building efforts, and theoretical

Introduction to Parallel Computing

Introduction to Parallel Computing
  • Publisher : Springer
  • File Size : 47,6 Mb
  • Release Date : 27 September 2018
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Advancements in microprocessor architecture, interconnection technology, and software development have fueled rapid growth in parallel and distributed computing. However, this development is only of practical benefit if it is accompanied

Introduction to Parallel Programming

Introduction to Parallel Programming
  • Publisher : Cambridge University Press
  • File Size : 45,6 Mb
  • Release Date : 31 July 2022
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In modern computer science, there exists no truly sequential computing system; and most advanced programming is parallel programming. This is particularly evident in modern application domains like scientific computation, data

Introduction to Parallel Computing

Introduction to Parallel Computing
  • Publisher : Pearson Education
  • File Size : 26,5 Mb
  • Release Date : 30 May 2024
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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,

INTRODUCTION TO PARALLEL PROCESSING

INTRODUCTION TO PARALLEL PROCESSING
  • Publisher : PHI Learning Pvt. Ltd.
  • File Size : 42,8 Mb
  • Release Date : 02 September 2014
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Written with a straightforward and student-centred approach, this extensively revised, updated and enlarged edition presents a thorough coverage of the various aspects of parallel processing including parallel processing architectures, programmability

Introduction to Parallel Programming

Introduction to Parallel Programming
  • Publisher : Cambridge University Press
  • File Size : 20,5 Mb
  • Release Date : 31 October 2022
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This book introduces students to the full gamut of different parallel programming styles and their relationship to hardware architecture.

An Introduction to Distributed and Parallel Processing

An Introduction to Distributed and Parallel Processing
  • Publisher : Wiley-Blackwell
  • File Size : 40,5 Mb
  • Release Date : 30 May 1987
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This book is an introduction to the highly topical areas of distributed and parallel processing, and will be of value to computer science undergraduates, students of electrical engineering, electronics and

Programming Massively Parallel Processors

Programming Massively Parallel Processors
  • Publisher : Newnes
  • File Size : 38,8 Mb
  • Release Date : 31 December 2012
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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

Introduction to Parallel Computing

Introduction to Parallel Computing
  • Publisher : Cambridge University Press
  • File Size : 20,7 Mb
  • Release Date : 11 January 2017
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A comprehensive guide for students and practitioners to parallel computing models, processes, metrics, and implementation in MPI and OpenMP.

Parallel Processing from Applications to Systems

Parallel Processing from Applications to Systems
  • Publisher : Elsevier
  • File Size : 51,7 Mb
  • Release Date : 28 June 2014
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This text provides one of the broadest presentations of parallel processing available, including the structure of parallel processors and parallel algorithms. The emphasis is on mapping algorithms to highly parallel