Computer Science

Algorithms and Architectures

By: Behrooz Parhami

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Paperback | 31 January 1999

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560 Pages

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26.04 x 17.15 x 3.18

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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 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.

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Non-Fiction Computing & I.T.Computer Science Computer Architecture & Logic Design Parallel Processing Computer Programming & Software Development Human-Computer Interaction Information Architecture Business & Management Business Mathematics & Systems

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Published: 8th March 2013

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Fundamental Concepts
Introduction to Parallelism
A Taste of Parallel Algorithms
Parallel Algorithm Complexity
Models of Parallel Processing
Extreme Models: PRAM and Basic Algorithms
More Shared-Memory Algorithms
Sorting and Selection Networks
Other Circuit-Level Examples
Mesh-Based Architectures: Sorting on a 2D Mesh or Torus
Routing on a 2D Mesh or Torus
Numerical 2D Mesh Algorithms
Other Mesh-Related Architectures
Low-Diameter Architectures: Hypercubes and Their Algorithms
Sorting and Routing on Hypercubes
Other Hypercubic Architectures
A Sampler of Other Networks
Some Broad Topics: Emulation and Scheduling
Data Storage, Input, and Output
Reliable Parallel Processing
System and Software Issues
Implementation Aspects: Shared-Memory MIMD Machines
Message-Passing MIMD Machines
Data-Parallel SIMD Machines
Past, Present, and Future
Index
Table of Contents provided by Publisher. All Rights Reserved.

Computer Science

Algorithms and Architectures

At a Glance

Paperback

Shipping

How to return your order

Defective items

You Can Find This Book In

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