Includes bibliographical references and index.
|Statement||edited by Ioannis Pitas.|
|Series||Wiley series in parallel computing, Wiley professional computing|
|LC Classifications||QA76.58 .P36 1993|
|The Physical Object|
|Pagination||xii, 395 p. :|
|Number of Pages||395|
|LC Control Number||92045607|
Book Description. Focusing on algorithms for distributed-memory parallel architectures, Parallel Algorithms presents a rigorous yet accessible treatment of theoretical models of parallel computation, parallel algorithm design for homogeneous and heterogeneous platforms, complexity and performance analysis, and essential notions of scheduling. The book extracts fundamental ideas and algorithmic principles from the mass of parallel algorithm . This book is the result of several years of research trying to better characterize parallel genetic algorithms (pGAs) as a powerful tool for optimization, search, and learning. Readers can learn how to solve complex tasks by reducing their high computational times. Dealing with two scientific. Focusing on algorithms for distributed-memory parallel architectures, Parallel Algorithms presents a rigorous yet accessible treatment of theoretical models of parallel computation, parallel algorithm design for homogeneous and heterogeneous platforms, complexity and performance analysis, and essential notions of scheduling. The book extracts fundamental ideas and algorithmic principles from the mass of parallel algorithm . Introduction to Parallel Algorithms and Architectures: Arrays Trees Hypercubes provides an introduction to the expanding field of parallel algorithms and architectures. This book focuses on parallel computation involving the most popular network architectures, namely, arrays, trees, hypercubes, and some closely related Edition: 1.
Parallel processing involves utilizing several factors, such as parallel architectures, parallel algorithms, parallel programming lan guages and performance analysis, which are strongly interrelated. In general, four steps are involved in performing a computational problem in : Springer-Verlag New York. Algorithms and parallel computing/Fayez Gebali. p. cm.—(Wiley series on parallel and distributed computing ; 82) Includes bibliographical references and index. ISBN (hardback) 1. Parallel processing (Electronic computers) Size: 8MB. Introduction The subject of this chapter is the design and analysis of parallel algorithms. Most of today’s algorithms are sequential, that is, they specify a sequence of steps in which each step consists of a single operation. These algorithms are well suited to today’s computers, which basically perform operations in a sequential Size: KB. A Library of Parallel Algorithms This is the toplevel page for accessing code for a collection of parallel algorithms. The algorithms are implemented in the parallel programming language NESL and developed by the Scandal project. For each algorithm we give a brief description along with its complexity (in terms of asymptotic work and parallel depth).
Parallel Sorting Algorithms explains how to use parallel algorithms to sort a sequence of items on a variety of parallel computers. The book reviews the sorting problem, the parallel models of computation, parallel algorithms, and the lower bounds on the parallel sorting problems. Introduction to Parallel Algorithms. Joseph JaJa, University of Maryland. Written by an authority in the field, this book provides an introduction to the design and analysis of parallel algorithms. The emphasis is on the application of the PRAM (parallel random access machine) model of parallel computation, with all its variants, to algorithm analysis. Parallel Programming and Parallel Algorithms INTRODUCTION Algorithms in which operations must be executed step by step are called serial or sequential algorithms. Algorithms in which several operations may be executed simultaneously are referred to as parallel Size: KB. In computer science, a parallel algorithm, as opposed to a traditional serial algorithm, is an algorithm which can do multiple operations in a given time. It has been a tradition of computer science to describe serial algorithms in abstract machine models, often the one known as Random-access rly, many computer science researchers have used a so-called parallel random .