## The Design and Analysis of Parallel Algorithms

**Author**: Selim G. Akl

**Publisher:**N.A

**ISBN:**N.A

**Category:**Computers

**Page:**401

**View:**1726

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Mathematics of Computing -- Parallelism.

## Introduction to parallel computing

*design and analysis of algorithms*

**Author**: Vipin Kumar

**Publisher:**Addison Wesley

**ISBN:**9780805331707

**Category:**Computers

**Page:**597

**View:**650

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Take advantage of the power of parallel computers with this comprehensive introduction to methods for the design, implementation, and analysis of parallel algorithms. You'll examine many important core topics, including sorting and graph algorithms, discrete optimization techniques, and scientific computing applications, as you consider parallel algorithms for realistic machine models. Features: presents parallel algorithms as a small set of basic data communication operations in order to simplify their design and increase understanding; emphasizes practical issues of performance, efficiency, and scalability; provides a self-contained discussion of the basic concepts of parallel computer architectures; covers algorithms for scientific computation, such as dense and sparse matrix computations, linear system solving, finite elements, and FFT; discusses algorithms for combinatorial optimization, including branch-and-bound, heuristic search, and dynamic programming; incorporates illustrative examples of parallel programs for commercially available computers; and contains extensive figures and examples that illustrate the workings of algorithms on different architectures.

## Introduction to Parallel Algorithms

**Author**: C. Xavier,S. S. Iyengar

**Publisher:**John Wiley & Sons

**ISBN:**9780471251828

**Category:**Computers

**Page:**365

**View:**3140

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Parallel algorithms Made Easy The complexity of today's applications coupled with the widespread use of parallel computing has made the design and analysis of parallel algorithms topics of growing interest. This volume fills a need in the field for an introductory treatment of parallel algorithms-appropriate even at the undergraduate level, where no other textbooks on the subject exist. It features a systematic approach to the latest design techniques, providing analysis and implementation details for each parallel algorithm described in the book. Introduction to Parallel Algorithms covers foundations of parallel computing; parallel algorithms for trees and graphs; parallel algorithms for sorting, searching, and merging; and numerical algorithms. This remarkable book: * Presents basic concepts in clear and simple terms * Incorporates numerous examples to enhance students' understanding * Shows how to develop parallel algorithms for all classical problems in computer science, mathematics, and engineering * Employs extensive illustrations of new design techniques * Discusses parallel algorithms in the context of PRAM model * Includes end-of-chapter exercises and detailed references on parallel computing. This book enables universities to offer parallel algorithm courses at the senior undergraduate level in computer science and engineering. It is also an invaluable text/reference for graduate students, scientists, and engineers in computer science, mathematics, and engineering.

## Design and Analysis of Parallel Algorithms for Game-tree Search

**Author**: Igor Robert Steinberg

**Publisher:**N.A

**ISBN:**N.A

**Category:**

**Page:**234

**View:**5782

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## Analysis and design of parallel algorithms

*arithmetic and matrix problems*

**Author**: S. Lakshmivarahan,Sudarshan Kumar Dhall

**Publisher:**McGraw-Hill College

**ISBN:**9780070361393

**Category:**Computers

**Page:**657

**View:**1524

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## Introduction to Parallel Computing

**Author**: Ananth Grama,Vipin Kumar,Anshul Gupta,George Karypis

**Publisher:**Pearson Education

**ISBN:**9780201648652

**Category:**Computers

**Page:**636

**View:**9722

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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, scientific computing algorithms and data intensive algorithms.

## Introduction to Parallel Computing

**Author**: Zbigniew J. Czech

**Publisher:**Cambridge University Press

**ISBN:**1107174392

**Category:**Computers

**Page:**428

**View:**5478

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A comprehensive guide for students and practitioners to parallel computing models, processes, metrics, and implementation in MPI and OpenMP.

## Introduction to Parallel Computing

*Design and Analysing of Algorithms*

**Author**: N.A

**Publisher:**Springer

**ISBN:**3319988336

**Category:**

**Page:**N.A

**View:**6845

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## Parallel algorithms

*design and analysis*

**Author**: Pranay Chaudhuri

**Publisher:**N.A

**ISBN:**9780133519822

**Category:**Computers

**Page:**314

**View:**7096

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This book covers wealth of important material on parallel algorithms in depth for the solution of problems in a variety of application areas highlighting the importance of parallel graph algorithms. It covers all existing material and research on parallel graph algorithms as well as other important topics relating to parallel algorithms such as: parallel matrix and boolean matrix multiplication algorithms. The book is written for application software designers working in parallel processing environments but will also form an invaluable reference work for researchers.

## Parallel Complexity of Linear System Solution

**Author**: Bruno Codenotti,Mauro Leoncini

**Publisher:**World Scientific

**ISBN:**9789810205034

**Category:**Computers

**Page:**218

**View:**4534

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This book presents the most important parallel algorithms for the solution of linear systems. Despite the evolution and significance of the field of parallel solution of linear systems, no book is completely dedicated to the subject. People interested in the themes covered by this book belong to two different groups: numerical linear algebra and theoretical computer science, and this is the first effort to produce a useful tool for both. The book is organized as follows: after introducing the general features of parallel algorithms and the most important models of parallel computation, the authors analyze the complexity of solving linear systems in the circuit, PRAM, distributed, and VLSI models. The approach covers both the general case (i.e. dense linear systems without structure) and many important special cases (i.e. banded, sparse, Toeplitz, circulant linear systems).

## Parallel Computation

*Models and Methods*

**Author**: Selim G. Akl

**Publisher:**Upper Saddle River, N.J. : Prentice Hall

**ISBN:**N.A

**Category:**Computers

**Page:**608

**View:**4677

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Focusing throughout on models of computation and methods of problem solving, this text shows how a parallel algorithm can be designed for a given computational problem to run on a parallel computer, and then how it can be analyzed to determine its goodness. The book covers in detail the main three models of computation used to design parallel algorithms (namely combinational circuits, shared memory machines, and interconnection networks). The algorithms are grouped by method of design (prefix computation, divide and conquer, and pointer based methods) and described for interconnection networks varying from the simplest (linear array) to the most advanced (star). The chapter on parallel synergy shows that the concept of superlinear speedup is mathematically possible, and describes some real-life examples where such speedup can be achieved.

## DESIGN AND ANALYSIS OF ALGORITHMS

**Author**: R. PANNEERSELVAM

**Publisher:**PHI Learning Pvt. Ltd.

**ISBN:**9788120332782

**Category:**Computers

**Page:**440

**View:**9041

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This highly structured text provides comprehensive coverage of design techniques of algorithms. It traces the complete development of various algorithms in a stepwise approach followed by their pseudo-codes to build an understanding of their application in practice. With clear explanations, the book analyzes different kinds of algorithms such as distance-based network algorithms, search algorithms, sorting algorithms, probabilistic algorithms, and single as well as parallel processor scheduling algorithms. Besides, it discusses the importance of heuristics, benchmarking of algorithms, cryptography, and dynamic programming. Key Features : Offers in-depth treatment of basic and advanced topics. Includes numerous worked examples covering varied real-world situations to help students grasp the concepts easily. Provides chapter-end exercises to enable students to check their mastery of content. This text is especially designed for students of B.Tech and M.Tech (Computer Science and Engineering and Information Technology), MCA, and M.Sc. (Computer Science and Information Technology). It would also be useful to undergraduate students of electrical and electronics and other engineering disciplines where a course in algorithms is prescribed.

## Parallel Algorithms

**Author**: Henri Casanova,Arnaud Legrand,Yves Robert

**Publisher:**CRC Press

**ISBN:**1584889462

**Category:**Computers

**Page:**360

**View:**8173

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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 expertise and practical implementations developed over the last few decades. In the first section of the text, the authors cover two classical theoretical models of parallel computation (PRAMs and sorting networks), describe network models for topology and performance, and define several classical communication primitives. The next part deals with parallel algorithms on ring and grid logical topologies as well as the issue of load balancing on heterogeneous computing platforms. The final section presents basic results and approaches for common scheduling problems that arise when developing parallel algorithms. It also discusses advanced scheduling topics, such as divisible load scheduling and steady-state scheduling. With numerous examples and exercises in each chapter, this text encompasses both the theoretical foundations of parallel algorithms and practical parallel algorithm design.

## Parallel algorithms and matrix computation

**Author**: Jagdish J. Modi

**Publisher:**Oxford University Press, USA

**ISBN:**N.A

**Category:**Computers

**Page:**260

**View:**7541

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One of the first textbooks on the topic, this book brings together and further articulates the fundamental concepts in parallel computing. It covers the application of parallel algorithms to numerical linear algebra, with an emphasis on the design and analysis of algorithms that are of particular importance in both industrial and academic research. The first part is devoted to a discussion of the general principles and techniques involved, and is illustrated by numerous examples. Dr. Modi goes on to describe some key areas of application, such as sorting, linear systems, partial differential equations, singular-value decomposition, and eigenvalue analysis. Based on a lecture course at the University of Cambridge, the text will appeal to those with an interest in the design and implementations of algorithms in parallel computing.

## Automata, Languages and Programming

*15th International Colloquium, Tampere, Finland, July 11-15, 1988. Proceedings*

**Author**: Timo Lepistö,Arto Salomaa

**Publisher:**Springer Science & Business Media

**ISBN:**9783540194880

**Category:**Computers

**Page:**741

**View:**6012

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This volume contains the proceedings of ICALP 88, held at Tampere University of Technology, Finland, July 11-15, 1988. ICALP 88 is the 15th International Colloquium on Automata, Languages and Programming in a series of meetings sponsored by the European Association for Theoretical Computer Science (EATCS). It is a broadly based conference covering all aspects of theoretical computer science including topics such as computability, automata, formal languages, analysis of algorithms, computational complexity, data types and data structures, theory of data bases and knowledge bases, semantics of programming languages, program specification, transformation and verification, foundations of logic programming, theory of logical design and layout, parallel and distributed computation, theory of concurrency, symbolic and algebraic computation, term rewriting systems, cryptography, and theory of robotics.

## Analysis of Algorithms

**Author**: Jeffrey McConnell

**Publisher:**Jones & Bartlett Publishers

**ISBN:**0763787000

**Category:**Computers

**Page:**451

**View:**7824

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Updated to follow the recommendations put forth by the ACM/SIGCSE 2001 task force, Analysis of Algorithms raises awareness of the effects that algorithms have on the efficiency of a program and develops the necessary skills to analyze general algorithms used in programs. The text presents the material with the expectation that it can be used with active and cooperative learning methodology, based on the premise that students learn more effectively and retain more information longer when they are active participants in the learning process. To accomplish this, the chapters are clear and complete to encourage students to prepare by reading before class, and the text is filled with exciting examples and exercises that look at the efficiency of various algorithms to solve a problem. The author is well known for workshops that he presents on the active learning model. He has written an instructor's manual that helps instructors understand how to present the material in an active way.

## Parallel Algorithms for Linear Models

*Numerical Methods and Estimation Problems*

**Author**: Erricos Kontoghiorghes

**Publisher:**Springer Science & Business Media

**ISBN:**9780792377207

**Category:**Business & Economics

**Page:**182

**View:**6782

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Parallel Algorithms for Linear Models provides a complete and detailed account of the design, analysis and implementation of parallel algorithms for solving large-scale linear models. It investigates and presents efficient, numerically stable algorithms for computing the least-squares estimators and other quantities of interest on massively parallel systems. The monograph is in two parts. The first part consists of four chapters and deals with the computational aspects for solving linear models that have applicability in diverse areas. The remaining two chapters form the second part, which concentrates on numerical and computational methods for solving various problems associated with seemingly unrelated regression equations (SURE) and simultaneous equations models. The practical issues of the parallel algorithms and the theoretical aspects of the numerical methods will be of interest to a broad range of researchers working in the areas of numerical and computational methods in statistics and econometrics, parallel numerical algorithms, parallel computing and numerical linear algebra. The aim of this monograph is to promote research in the interface of econometrics, computational statistics, numerical linear algebra and parallelism.

## Handbook of Bioinspired Algorithms and Applications

**Author**: Stephan Olariu,Albert Y. Zomaya

**Publisher:**CRC Press

**ISBN:**1420035061

**Category:**Computers

**Page:**704

**View:**2537

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The mystique of biologically inspired (or bioinspired) paradigms is their ability to describe and solve complex relationships from intrinsically very simple initial conditions and with little or no knowledge of the search space. Edited by two prominent, well-respected researchers, the Handbook of Bioinspired Algorithms and Applications reveals the connections between bioinspired techniques and the development of solutions to problems that arise in diverse problem domains. A repository of the theory and fundamentals as well as a manual for practical implementation, this authoritative handbook provides broad coverage in a single source along with numerous references to the available literature for more in-depth information. The book's two sections serve to balance coverage of theory and practical applications. The first section explains the fundamentals of techniques, such as evolutionary algorithms, swarm intelligence, cellular automata, and others. Detailed examples and case studies in the second section illustrate how to apply the theory in actually developing solutions to a particular problem based on a bioinspired technique. Emphasizing the importance of understanding and harnessing the robust capabilities of bioinspired techniques for solving computationally intractable optimizations and decision-making applications, the Handbook of Bioinspired Algorithms and Applications is an absolute must-read for anyone who is serious about advancing the next generation of computing.

## Applied Parallel Computing

**Author**: Yuefan Deng

**Publisher:**World Scientific

**ISBN:**9814307602

**Category:**Computers

**Page:**207

**View:**7206

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The book provides a practical guide to computational scientists and engineers to help advance their research by exploiting the superpower of supercomputers with many processors and complex networks. This book focuses on the design and analysis of basic parallel algorithms, the key components for composing larger packages for a wide range of applications.