Last edited by Tojazuru
Saturday, July 18, 2020 | History

2 edition of Hypercube algorithms found in the catalog.

Hypercube algorithms

Sanjay Ranka

Hypercube algorithms

with applications to image processing and pattern recognition

by Sanjay Ranka

  • 165 Want to read
  • 8 Currently reading

Published by Springer-Verlag in New York .
Written in English

    Subjects:
  • Parallel processing (Electronic computers),
  • Computer algorithms.,
  • Hypercube networks (Computer networks),
  • Image processing -- Digital techniques.,
  • Pattern recognition systems.

  • Edition Notes

    Includes bibliographical references (p. [231]-234) and index.

    StatementSanjay Ranka, Sartaj Sahni.
    SeriesBilkent University lecture series ;, vol. 1
    ContributionsSahni, Sartaj.
    Classifications
    LC ClassificationsQA76.58 .R36 1990
    The Physical Object
    Paginationix, 237 p. :
    Number of Pages237
    ID Numbers
    Open LibraryOL1857481M
    LC Control Number90009698

    Other articles where Hypercube is discussed: computer science: Parallel and distributed computing: A much-studied topology is the hypercube, in which each processor is connected directly to some fixed number of neighbours: two for the two-dimensional square, three for the three-dimensional cube, and similarly for the higher-dimensional hypercubes. Computer . Algorithms: Design and Analysis is a textbook designed for undergraduate and postgraduate students of computer science engineering, information technology, and computer applications. The book offers adequate mix of both theoretical and mathematical treatment of the concepts. It covers the basics, design techniques, advanced topics and applications of algorithms.

    Fundamentals of Computer Algorithms is a comprehensive book for undergraduate students of Computer Science Engineering. The book comprises chapters on elementary data structures, dynamic programming, backtracking, algebraic problems, lower bound theory, pram algorithms, mesh algorithms, and hypercube algorithms/5. © Copyright by Ian FosterIan Foster.

    Bibliography Includes bibliographical references and indexes. Contents. Preface Acknowledgments Notation; 1 Arrays and Trees Elementary Sorting and Counting Sorting on a Linear Array Assessing the Performance of the Algorithm Sorting N Numbers with Fewer Than N Processors Sorting in the Bit Model Lower Bounds A . Hypercube Algorithms: with Applications to Image Processing and Pattern Recognition (Bilkent University Lecture Series): ISBN () Hardcover, Springer, Software Development in Java.


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Hypercube algorithms by Sanjay Ranka Download PDF EPUB FB2

Hypercube Algorithms: with Applications to Image Processing and Pattern Recognition (Bilkent University Lecture Series) Hypercube algorithms book Ranka, Sartaj Sahni] on *FREE* shipping on qualifying offers. Fundamentals algorithms for SIMD and MIMD hypercubes are developed.

These include algorithms for such problems as data broadcastingCited by: The book is suitable for use in a one-semester or one-quarter course on hypercube algorithms. Hypercube algorithms book For students with no prior exposure to parallel algorithms, it is recommended that one week will be spent on the material in chapter 1, about six weeks on chapter 2 and one week on chapter 3.

8 rows  A hypercube can be defined by increasing the numbers of dimensions of a shape: 0 –. Hypercube Algorithms: with Applications to Image Processing and Pattern Recognition - Ebook written by Sanjay Ranka, Sartaj Sahni.

Read this book using Google Play Books app on your PC, android, iOS devices. Download for offline reading, highlight, bookmark or take notes while you read Hypercube Algorithms: with Applications to Image Processing and 2/5(1).

Get this from a library. Hypercube algorithms: with applications to image processing and pattern recognition. [Sanjay Ranka; Sartaj Sahni] -- Mathematics of Computing -- Parallelism. Introduction to Parallel Algorithms and Architectures: Arrays, Trees, Hypercubes: Computer Science Books @ ed by: Parallel algorithms are presented for important components of computational fluid dynamics algorithms along with implementations on hypercube computers.

These programs, used to solve hyperbolic and elliptic equations, achieve high efficiency on 5- and 7-dimensional by: In graph theory, the hypercube graph Q n is the graph formed from the vertices and edges of an n-dimensional instance, the cubical graph Q 3 is the graph formed by the 8 vertices and 12 edges of a three-dimensional cube.

Q n has 2 n vertices, 2 n−1 n edges, and is a regular graph with n edges touching each vertex. The hypercube graph Q n may also be Diameter: n. parallel algorithms requires some understanding of the various models and the relationship among (x,y−1 modY), (x+1 modX,y), and (x−1 modX,y).

A hypercube is a network with 2n switches in which each switch has a distinct n-bit label. Two switches are connected by a communication Size: KB.

the development of parallel algorithms it is usually assumed that the hypercube is complete. Even when a small number of nodes is required, such algorithms dictate that we have a complete hypercube.

For example, if a problem requires 9 nodes, a complete node hypercube must be used. In practice, however, it mayAuthor: Venkata K. Prabhala. Similarly, assuming to generate an initial Latin hypercube design of sampling points and dimensions by SLE algorithm.

This problem of finding a set of sampling points in -dimensional space can be described as positioning points in a unit hypercube, each point in which has coordinates values, (), so that all the points possess good performance, that is, space-filling Cited by: 5.

Parallel-Algorithms for Regular Architectures is the first book to concentrate exclusively on algorithms and paradigms for programming parallel computers such as the hypercube, mesh, pyramid, and mesh-of-trees.

Full text of "Hypercube algorithms and implementations" See other formats. The book comprises chapters on elementary data structures, dynamic programming, backtracking, algebraic problems, lower bound theory, pram algorithms, mesh algorithms, and hypercube algorithms.

In addition, the book consists of several real-world examples Fundamentals of Computer Algorithms is a comprehensive book for undergraduate students. If you’re interested in the technical details of the algorithms of this era, Xin Yao published an excellent survey of many of its neuroevolution algorithms.

Much of the pioneering work of this period came from Stefano Nolfi and Dario Floreano, who captured many of its best ideas in their classic book, Evolutionary : Kenneth O. Stanley. 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 networks. The hypercube, though a popular and versatile architecture, has a major drawback in that its size must be a power of two. In order to alleviate this drawback, Katseff [] defined theincomplete hypercube, which allows a hypercube-like architecture to be defined for any number of nodes.

In this paper we generalize this definition and introduce the namecomposite Cited by: lems on a hypercube. Algorithms for solving such problems have been studied in such works as [15, 7], among others. In this paper, we present some new algorithms for the hy-percube that are optimal, in the sense that they execute the required communication tasks in the minimum possible number of time steps and link transmissions.

This paper examines routing and broadcasting algorithms for hypercube computers subject to node failures. First some simple message-passing. Chapter Notes Leighton [] discusses basic properties of hypercubes and describes many parallel algorithms that use a hypercube communication recursive halving vector reduction algorithm considered in Section is described by Fox et al.

[] and the hybrid algorithm by van de Geijn [].Vector broadcast algorithms are described by Bertsekas and Tsitsiklis [] and. The algorithms balance the loads of the hypercube nodes by deterministic selection of the exact partitioning keys. The first algorithm presented has a time complexity of O(n/p log n + p{sup 2}log{sup 2} n), where n is the number of elements being sorted, p = 2{sup d} is the number of processors, and d is the dimension of the hypercube.In fact, since the hypercube contains the connections of the mesh-connected computer as a subset of its connections, a single step of a mesh- connected computer algorithm can be simulated in constant time on a hypercube, and hence the hypercube can efficiently perform all mesh computer algorithms.Matrix multiplication with a hypercube algorithm on multi-core processor cluster Article (PDF Available) in Dyna (Medellin, Colombia) 82() .