Parallel Processing And Parallel Algorithms

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Parallel Processing and Parallel Algorithms

Author : Seyed H Roosta
Publisher : Springer Science & Business Media
Page : 579 pages
File Size : 53,7 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.

Introduction to Parallel Processing

Author : Behrooz Parhami
Publisher : Springer Science & Business Media
Page : 532 pages
File Size : 51,5 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.

Algorithms and Parallel Computing

Author : Fayez Gebali
Publisher : John Wiley & Sons
Page : 372 pages
File Size : 41,5 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.

Sequential and Parallel Algorithms and Data Structures

Author : Peter Sanders,Kurt Mehlhorn,Martin Dietzfelbinger,Roman Dementiev
Publisher : Springer Nature
Page : 509 pages
File Size : 52,5 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.

Introduction to Parallel Algorithms and Architectures

Author : Frank Thomson Leighton
Publisher : Morgan Kaufmann Publishers
Page : 870 pages
File Size : 45,6 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.

Efficient Parallel Algorithms

Author : Alan Gibbons,Wojciech Rytter
Publisher : Cambridge University Press
Page : 280 pages
File Size : 44,9 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.

The Design and Analysis of Parallel Algorithms

Author : Selim G. Akl
Publisher : Unknown
Page : 426 pages
File Size : 51,6 Mb
Release : 1989
Category : Computers
ISBN : UOM:39015058902316

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The Design and Analysis of Parallel Algorithms by Selim G. Akl Pdf

Mathematics of Computing -- Parallelism.

Parallel Algorithms in Computational Science and Engineering

Author : Ananth Grama,Ahmed H. Sameh
Publisher : Springer Nature
Page : 421 pages
File Size : 42,8 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.

Introduction to Parallel Computing

Author : Vipin Kumar
Publisher : Addison Wesley Longman
Page : 632 pages
File Size : 47,7 Mb
Release : 1994
Category : Computers
ISBN : UOM:39015047505469

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Introduction to Parallel Computing by Vipin Kumar Pdf

Mathematics of Computing -- Parallelism.

Parallel Algorithms for Regular Architectures

Author : Russ Miller,Quentin F. Stout
Publisher : MIT Press
Page : 336 pages
File Size : 49,7 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

Author : D. Butnariu,S. Reich,Y. Censor
Publisher : Elsevier
Page : 516 pages
File Size : 47,6 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.

Parallel Algorithms

Author : M H Alsuwaiyel
Publisher : World Scientific
Page : 400 pages
File Size : 41,5 Mb
Release : 2022-05-30
Category : Computers
ISBN : 9789811252990

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Parallel Algorithms by M H Alsuwaiyel Pdf

This book is an introduction to the field of parallel algorithms and the underpinning techniques to realize the parallelization. The emphasis is on designing algorithms within the timeless and abstracted context of a high-level programming language. The focus of the presentation is on practical applications of the algorithm design using different models of parallel computation. Each model is illustrated by providing an adequate number of algorithms to solve some problems that quite often arise in many applications in science and engineering.The book is largely self-contained, presuming no special knowledge of parallel computers or particular mathematics. In addition, the solutions to all exercises are included at the end of each chapter.The book is intended as a text in the field of the design and analysis of parallel algorithms. It includes adequate material for a course in parallel algorithms at both undergraduate and graduate levels.

Parallel Computing

Author : D.J Evans,C.N Sutti
Publisher : CRC Press
Page : 312 pages
File Size : 49,5 Mb
Release : 2020-11-25
Category : Computers
ISBN : 9781000156904

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Parallel Computing by D.J Evans,C.N Sutti Pdf

Parallel Computing: Methods, Algorithms and Applications presents a collection of original papers presented at the international meeting on parallel processing, methods, algorithms, and applications at Verona, Italy in September 1989.

Programming Massively Parallel Processors

Author : David B. Kirk,Wen-mei W. Hwu
Publisher : Newnes
Page : 514 pages
File Size : 49,9 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

Parallel Processing from Applications to Systems

Author : Dan I. Moldovan
Publisher : Elsevier
Page : 567 pages
File Size : 44,5 Mb
Release : 2014-06-28
Category : Computers
ISBN : 9781483297514

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Parallel Processing from Applications to Systems by Dan I. Moldovan Pdf

This text provides one of the broadest presentations of parallel processing available, including the structure of parallel processors and parallel algorithms. The emphasis is on mapping algorithms to highly parallel computers, with extensive coverage of array and multiprocessor architectures. Early chapters provide insightful coverage on the analysis of parallel algorithms and program transformations, effectively integrating a variety of material previously scattered throughout the literature. Theory and practice are well balanced across diverse topics in this concise presentation. For exceptional clarity and comprehension, the author presents complex material in geometric graphs as well as algebraic notation. Each chapter includes well-chosen examples, tables summarizing related key concepts and definitions, and a broad range of worked exercises. Overview of common hardware and theoretical models, including algorithm characteristics and impediments to fast performance Analysis of data dependencies and inherent parallelism through program examples, building from simple to complex Graphic and explanatory coverage of program transformations Easy-to-follow presentation of parallel processor structures and interconnection networks, including parallelizing and restructuring compilers Parallel synchronization methods and types of parallel operating systems Detailed descriptions of hypercube systems Specialized chapters on dataflow and on AI architectures