Parallel Algorithms

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Introduction to Parallel Algorithms

C. Xavier,S. S. Iyengar
Introduction to Parallel Algorithms Book PDF

Author : C. Xavier,S. S. Iyengar
Publisher : John Wiley & Sons
Page : 388 pages
File Size : 43,5 Mb
Release : 1998-08-05
Category : Computers
ISBN : 0471251828

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Introduction to Parallel Algorithms by C. Xavier,S. S. Iyengar Pdf

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.

Sequential and Parallel Algorithms and Data Structures

Peter Sanders,Kurt Mehlhorn,Martin Dietzfelbinger,Roman Dementiev
Sequential and Parallel Algorithms and Data Structures Book PDF

Author : Peter Sanders,Kurt Mehlhorn,Martin Dietzfelbinger,Roman Dementiev
Publisher : Springer Nature
Page : 509 pages
File Size : 53,6 Mb
Release : 2019-08-31
Category : Computers
ISBN : 9783030252090

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Sequential and Parallel Algorithms and Data Structures by Peter Sanders,Kurt Mehlhorn,Martin Dietzfelbinger,Roman Dementiev Pdf

This textbook is a concise introduction to the basic toolbox of structures that allow efficient organization and retrieval of data, key algorithms for problems on graphs, and generic techniques for modeling, understanding, and solving algorithmic problems. The authors aim for a balance between simplicity and efficiency, between theory and practice, and between classical results and the forefront of research. Individual chapters cover arrays and linked lists, hash tables and associative arrays, sorting and selection, priority queues, sorted sequences, graph representation, graph traversal, shortest paths, minimum spanning trees, optimization, collective communication and computation, and load balancing. The authors also discuss important issues such as algorithm engineering, memory hierarchies, algorithm libraries, and certifying algorithms. Moving beyond the sequential algorithms and data structures of the earlier related title, this book takes into account the paradigm shift towards the parallel processing required to solve modern performance-critical applications and how this impacts on the teaching of algorithms. The book is suitable for undergraduate and graduate students and professionals familiar with programming and basic mathematical language. Most chapters have the same basic structure: the authors discuss a problem as it occurs in a real-life situation, they illustrate the most important applications, and then they introduce simple solutions as informally as possible and as formally as necessary so the reader really understands the issues at hand. As they move to more advanced and optional issues, their approach gradually leads to a more mathematical treatment, including theorems and proofs. The book includes many examples, pictures, informal explanations, and exercises, and the implementation notes introduce clean, efficient implementations in languages such as C++ and Java.

Parallel Processing and Parallel Algorithms

Seyed H Roosta
Parallel Processing and Parallel Algorithms Book PDF

Author : Seyed H Roosta
Publisher : Springer Science & Business Media
Page : 579 pages
File Size : 43,7 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461212201

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Parallel Processing and Parallel Algorithms by Seyed H Roosta Pdf

Motivation It is now possible to build powerful single-processor and multiprocessor systems and use them efficiently for data processing, which has seen an explosive ex pansion in many areas of computer science and engineering. One approach to meeting the performance requirements of the applications has been to utilize the most powerful single-processor system that is available. When such a system does not provide the performance requirements, pipelined and parallel process ing structures can be employed. The concept of parallel processing is a depar ture from sequential processing. In sequential computation one processor is in volved and performs one operation at a time. On the other hand, in parallel computation several processors cooperate to solve a problem, which reduces computing time because several operations can be carried out simultaneously. Using several processors that work together on a given computation illustrates a new paradigm in computer problem solving which is completely different from sequential processing. From the practical point of view, this provides sufficient justification to investigate the concept of parallel processing and related issues, such as parallel algorithms. 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 parallel. The first step is to understand the nature of computations in the specific application domain.

Efficient Parallel Algorithms

Alan Gibbons,Wojciech Rytter
Efficient Parallel Algorithms Book PDF

Author : Alan Gibbons,Wojciech Rytter
Publisher : Cambridge University Press
Page : 280 pages
File Size : 51,9 Mb
Release : 1989-11-24
Category : Computers
ISBN : 0521388414

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Efficient Parallel Algorithms by Alan Gibbons,Wojciech Rytter Pdf

Mathematics of Computing -- Parallelism.

Algorithms and Parallel Computing

Fayez Gebali
Algorithms and Parallel Computing Book PDF

Author : Fayez Gebali
Publisher : John Wiley & Sons
Page : 372 pages
File Size : 41,7 Mb
Release : 2011-03-29
Category : Computers
ISBN : 9780470934630

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Algorithms and Parallel Computing by Fayez Gebali Pdf

There is a software gap between the hardware potential and the performance that can be attained using today's software parallel program development tools. The tools need manual intervention by the programmer to parallelize the code. Programming a parallel computer requires closely studying the target algorithm or application, more so than in the traditional sequential programming we have all learned. The programmer must be aware of the communication and data dependencies of the algorithm or application. This book provides the techniques to explore the possible ways to program a parallel computer for a given application.

Parallel Algorithms

Henri Casanova,Arnaud Legrand,Yves Robert
Parallel Algorithms Book PDF

Author : Henri Casanova,Arnaud Legrand,Yves Robert
Publisher : CRC Press
Page : 360 pages
File Size : 54,9 Mb
Release : 2008-07-17
Category : Computers
ISBN : 9781584889465

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Parallel Algorithms by Henri Casanova,Arnaud Legrand,Yves Robert Pdf

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 extract

Introduction to Parallel Computing

Vipin Kumar
Introduction to Parallel Computing Book PDF

Author : Vipin Kumar
Publisher : Addison Wesley Longman
Page : 632 pages
File Size : 42,9 Mb
Release : 1994
Category : Computers
ISBN : UOM:39015047505469

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Introduction to Parallel Computing by Vipin Kumar Pdf

Mathematics of Computing -- Parallelism.

Programming Massively Parallel Processors

David B. Kirk,Wen-mei W. Hwu
Programming Massively Parallel Processors Book PDF

Author : David B. Kirk,Wen-mei W. Hwu
Publisher : Newnes
Page : 514 pages
File Size : 50,8 Mb
Release : 2012-12-31
Category : Computers
ISBN : 9780123914187

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Programming Massively Parallel Processors by David B. Kirk,Wen-mei W. Hwu Pdf

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 studies are used to demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. This guide shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in depth. This revised edition contains more parallel programming examples, commonly-used libraries such as Thrust, and explanations of the latest tools. It also provides new coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more; increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism; and two new case studies (on MRI reconstruction and molecular visualization) that explore the latest applications of CUDA and GPUs for scientific research and high-performance computing. This book should be a valuable resource for advanced students, software engineers, programmers, and hardware engineers. New coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more Increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism Two new case studies (on MRI reconstruction and molecular visualization) explore the latest applications of CUDA and GPUs for scientific research and high-performance computing

Introduction to Parallel Algorithms and Architectures

Frank Thomson Leighton
Introduction to Parallel Algorithms and Architectures Book PDF

Author : Frank Thomson Leighton
Publisher : Morgan Kaufmann Publishers
Page : 870 pages
File Size : 51,8 Mb
Release : 1992
Category : Computers
ISBN : UOM:49015001488411

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Introduction to Parallel Algorithms and Architectures by Frank Thomson Leighton Pdf

Mathematics of Computing -- Parallelism.

Parallel Algorithms in Computational Science and Engineering

Ananth Grama,Ahmed H. Sameh
Parallel Algorithms in Computational Science and Engineering Book PDF

Author : Ananth Grama,Ahmed H. Sameh
Publisher : Springer Nature
Page : 421 pages
File Size : 49,9 Mb
Release : 2020-07-06
Category : Computers
ISBN : 9783030437367

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Parallel Algorithms in Computational Science and Engineering by Ananth Grama,Ahmed H. Sameh Pdf

This contributed volume highlights two areas of fundamental interest in high-performance computing: core algorithms for important kernels and computationally demanding applications. The first few chapters explore algorithms, numerical techniques, and their parallel formulations for a variety of kernels that arise in applications. The rest of the volume focuses on state-of-the-art applications from diverse domains. By structuring the volume around these two areas, it presents a comprehensive view of the application landscape for high-performance computing, while also enabling readers to develop new applications using the kernels. Readers will learn how to choose the most suitable parallel algorithms for any given application, ensuring that theory and practicality are clearly connected. Applications using these techniques are illustrated in detail, including: Computational materials science and engineering Computational cardiovascular analysis Multiscale analysis of wind turbines and turbomachinery Weather forecasting Machine learning techniques Parallel Algorithms in Computational Science and Engineering will be an ideal reference for applied mathematicians, engineers, computer scientists, and other researchers who utilize high-performance computing in their work.

Parallel Algorithms for Regular Architectures

Russ Miller,Quentin F. Stout
Parallel Algorithms for Regular Architectures Book PDF

Author : Russ Miller,Quentin F. Stout
Publisher : MIT Press
Page : 336 pages
File Size : 40,6 Mb
Release : 1996
Category : Architecture
ISBN : 0262132338

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Parallel Algorithms for Regular Architectures by Russ Miller,Quentin F. Stout Pdf

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.

Inherently Parallel Algorithms in Feasibility and Optimization and their Applications

D. Butnariu,S. Reich,Y. Censor
Inherently Parallel Algorithms in Feasibility and Optimization and their Applications Book PDF

Author : D. Butnariu,S. Reich,Y. Censor
Publisher : Elsevier
Page : 516 pages
File Size : 53,7 Mb
Release : 2001-06-18
Category : Mathematics
ISBN : 0080508766

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Inherently Parallel Algorithms in Feasibility and Optimization and their Applications by D. Butnariu,S. Reich,Y. Censor Pdf

The Haifa 2000 Workshop on "Inherently Parallel Algorithms for Feasibility and Optimization and their Applications" brought together top scientists in this area. The objective of the Workshop was to discuss, analyze and compare the latest developments in this fast growing field of applied mathematics and to identify topics of research which are of special interest for industrial applications and for further theoretical study. Inherently parallel algorithms, that is, computational methods which are, by their mathematical nature, parallel, have been studied in various contexts for more than fifty years. However, it was only during the last decade that they have mostly proved their practical usefulness because new generations of computers made their implementation possible in order to solve complex feasibility and optimization problems involving huge amounts of data via parallel processing. These led to an accumulation of computational experience and theoretical information and opened new and challenging questions concerning the behavior of inherently parallel algorithms for feasibility and optimization, their convergence in new environments and in circumstances in which they were not considered before their stability and reliability. Several research groups all over the world focused on these questions and it was the general feeling among scientists involved in this effort that the time has come to survey the latest progress and convey a perspective for further development and concerted scientific investigations. Thus, the editors of this volume, with the support of the Israeli Academy for Sciences and Humanities, took the initiative of organizing a Workshop intended to bring together the leading scientists in the field. The current volume is the Proceedings of the Workshop representing the discussions, debates and communications that took place. Having all that information collected in a single book will provide mathematicians and engineers interested in the theoretical and practical aspects of the inherently parallel algorithms for feasibility and optimization with a tool for determining when, where and which algorithms in this class are fit for solving specific problems, how reliable they are, how they behave and how efficient they were in previous applications. Such a tool will allow software creators to choose ways of better implementing these methods by learning from existing experience.

Limits to Parallel Computation

Raymond Greenlaw,H. James Hoover,Walter L. Ruzzo
Limits to Parallel Computation Book PDF

Author : Raymond Greenlaw,H. James Hoover,Walter L. Ruzzo
Publisher : Oxford University Press, USA
Page : 328 pages
File Size : 43,8 Mb
Release : 1995
Category : Computational complexity
ISBN : 9780195085914

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Limits to Parallel Computation by Raymond Greenlaw,H. James Hoover,Walter L. Ruzzo Pdf

This book provides a comprehensive analysis of the most important topics in parallel computation. It is written so that it may be used as a self-study guide to the field, and researchers in parallel computing will find it a useful reference for many years to come. The first half of the book consists of an introduction to many fundamental issues in parallel computing. The second half provides lists of P-complete- and open problems. These lists will have lasting value to researchers in both industry and academia. The lists of problems, with their corresponding remarks, the thorough index, and the hundreds of references add to the exceptional value of this resource. While the exciting field of parallel computation continues to expand rapidly, this book serves as a guide to research done through 1994 and also describes the fundamental concepts that new workers will need to know in coming years. It is intended for anyone interested in parallel computing, including senior level undergraduate students, graduate students, faculty, and people in industry. As an essential reference, the book will be needed in all academic libraries.

Introduction to Parallel Processing

Behrooz Parhami
Introduction to Parallel Processing Book PDF

Author : Behrooz Parhami
Publisher : Springer Science & Business Media
Page : 532 pages
File Size : 44,6 Mb
Release : 2006-04-11
Category : Business & Economics
ISBN : 9780306469640

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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.

Synthesis of Parallel Algorithms

John H. Reif
Synthesis of Parallel Algorithms Book PDF

Author : John H. Reif
Publisher : Morgan Kaufmann Publishers
Page : 1032 pages
File Size : 53,8 Mb
Release : 1993
Category : Computers
ISBN : UOM:39015029283242

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Synthesis of Parallel Algorithms by John H. Reif Pdf

Mathematics of Computing -- Parallelism.