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Author : Philip Wilkinson
Publisher : Pearson Education India
Page : 492 pages
File Size : 45,9 Mb
Release : 2006-09
Category : Electronic
ISBN : 8131702391
Author : Peter Fritzson,Leif Finmo
Publisher : IOS Press
Page : 450 pages
File Size : 48,5 Mb
Release : 1995
Category : Computers
ISBN : 9051992297
ZEUS (Centres of European Supercomputing) is a network for information exchange and co-operation between European Supercomputer Centres. During the fall of 1994 the idea was put forward to start an annual workshop to stimulate the exchange of ideas and experience in parallel programming and computing between researchers and users from industry and academia. The first workshop in this series, the ZEUS '95 Workshop on Parallel Programming and Computation, is organized at Linkoping University, where the Swedish ZEUS centre, NSC (National Supercomputer Centre) is located. This is open for all researchers and users in the field of parallel computing.
Author : Christian Bischof
Publisher : IOS Press
Page : 824 pages
File Size : 45,5 Mb
Release : 2008
Category : Computers
ISBN : 9781586037963
ParCo2007 marks a quarter of a century of the international conferences on parallel computing that started in Berlin in 1983. The aim of the conference is to give an overview of the developments, applications and future trends in high-performance computing for various platforms.
Author : Barry Wilkinson
Publisher : Unknown
Page : 431 pages
File Size : 54,9 Mb
Release : 2006-02-01
Category : Parallel programming (Computer science)
ISBN : 8178086344
Author : Dan I. Moldovan
Publisher : Elsevier
Page : 586 pages
File Size : 55,5 Mb
Release : 2014-06-28
Category : Computers
ISBN : 9781483297514
This text provides one of the broadest presentations of parallel processing available, including the structure of parallelprocessors 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
Author : Thomas Rauber,Gudula Rünger
Publisher : Springer Science & Business Media
Page : 523 pages
File Size : 46,9 Mb
Release : 2013-06-13
Category : Computers
ISBN : 9783642378010
Innovations in hardware architecture, like hyper-threading or multicore processors, mean that parallel computing resources are available for inexpensive desktop computers. In only a few years, many standard software products will be based on concepts of parallel programming implemented on such hardware, and the range of applications will be much broader than that of scientific computing, up to now the main application area for parallel computing. Rauber and Rünger take up these recent developments in processor architecture by giving detailed descriptions of parallel programming techniques that are necessary for developing efficient programs for multicore processors as well as for parallel cluster systems and supercomputers. Their book is structured in three main parts, covering all areas of parallel computing: the architecture of parallel systems, parallel programming models and environments, and the implementation of efficient application algorithms. The emphasis lies on parallel programming techniques needed for different architectures. For this second edition, all chapters have been carefully revised. The chapter on architecture of parallel systems has been updated considerably, with a greater emphasis on the architecture of multicore systems and adding new material on the latest developments in computer architecture. Lastly, a completely new chapter on general-purpose GPUs and the corresponding programming techniques has been added. The main goal of the book is to present parallel programming techniques that can be used in many situations for a broad range of application areas and which enable the reader to develop correct and efficient parallel programs. Many examples and exercises are provided to show how to apply the techniques. The book can be used as both a textbook for students and a reference book for professionals. The material presented has been used for courses in parallel programming at different universities for many years.
Author : Timothy G. Mattson,Beverly Sanders,Berna Massingill
Publisher : Pearson Education
Page : 786 pages
File Size : 45,6 Mb
Release : 2004-09-15
Category : Computers
ISBN : 9780321630032
The Parallel Programming Guide for Every Software Developer From grids and clusters to next-generation game consoles, parallel computing is going mainstream. Innovations such as Hyper-Threading Technology, HyperTransport Technology, and multicore microprocessors from IBM, Intel, and Sun are accelerating the movement's growth. Only one thing is missing: programmers with the skills to meet the soaring demand for parallel software. That's where Patterns for Parallel Programming comes in. It's the first parallel programming guide written specifically to serve working software developers, not just computer scientists. The authors introduce a complete, highly accessible pattern language that will help any experienced developer "think parallel"-and start writing effective parallel code almost immediately. Instead of formal theory, they deliver proven solutions to the challenges faced by parallel programmers, and pragmatic guidance for using today's parallel APIs in the real world. Coverage includes: Understanding the parallel computing landscape and the challenges faced by parallel developers Finding the concurrency in a software design problem and decomposing it into concurrent tasks Managing the use of data across tasks Creating an algorithm structure that effectively exploits the concurrency you've identified Connecting your algorithmic structures to the APIs needed to implement them Specific software constructs for implementing parallel programs Working with today's leading parallel programming environments: OpenMP, MPI, and Java Patterns have helped thousands of programmers master object-oriented development and other complex programming technologies. With this book, you will learn that they're the best way to master parallel programming too.
Author : Barry Wilkinson,C. Michael Allen
Publisher : Pearson Educacion
Page : 467 pages
File Size : 48,9 Mb
Release : 2005
Category : Parallel programming
ISBN : 0131918656
Designed for undergraduate/graduate-level parallel programming courses. This nontheoretical text - which is linked to real parallel programming software - covers the techniques of parallel programming in a practical manner that enables students to write and evaluate their parallel programs.
Author : Sanguthevar Rajasekaran,John Reif
Publisher : CRC Press
Page : 1224 pages
File Size : 41,9 Mb
Release : 2007-12-20
Category : Computers
ISBN : 9781420011296
The ability of parallel computing to process large data sets and handle time-consuming operations has resulted in unprecedented advances in biological and scientific computing, modeling, and simulations. Exploring these recent developments, the Handbook of Parallel Computing: Models, Algorithms, and Applications provides comprehensive coverage on a
Author : Raimondas Ciegis,David Henty,Bo Kågström,Julius Žilinskas
Publisher : Springer Science & Business Media
Page : 287 pages
File Size : 54,9 Mb
Release : 2008-10-08
Category : Mathematics
ISBN : 9780387097077
Parallel Scientific Computing and Optimization introduces new developments in the construction, analysis, and implementation of parallel computing algorithms. This book presents 23 self-contained chapters, including survey chapters and surveys, written by distinguished researchers in the field of parallel computing. Each chapter is devoted to some aspects of the subject: parallel algorithms for matrix computations, parallel optimization, management of parallel programming models and data, with the largest focus on parallel scientific computing in industrial applications. This volume is intended for scientists and graduate students specializing in computer science and applied mathematics who are engaged in parallel scientific computing.
Author : Rishabh Verma,Neha Shrivastava,Ravindra Akella
Publisher : BPB Publications
Page : 349 pages
File Size : 52,5 Mb
Release : 2020-06-26
Category : Computers
ISBN : 9789389423327
Learn, understand, and code parallel programs with confidence using C# 8 and .NET Core 3.0 KEY FEATURES - Explore and work with the new features and enhancements in .NET Core 3.1 and C# 8. - Understand the fundamentals of parallel programming. - Learn various threading patterns and synchronization constructs. - Build concurrent applications using C# and .NET Core 3.1 from the ground up. - Understand the principles of unit testing and debugging in concurrent applications. DESCRIPTIONÊÊ Application development has evolved over the last decade, and with the advent of the latest technologies like Angular, React on client-side, and ASP.NET Core, Spring on the server-side, the consumer expectations have risen like never before.Ê The primary objective of this book is to help readers understand the importance of asynchronous programming and various ways it can be achieved using .NET Core 3.1 and C# 8 to successfully build concurrent applications. Along the way reader will learn the fundamentals of threading, asynchronous programming, various asynchronous patterns, synchronisation constructs, unit testing parallel methods, debugging enterprise applications, and cool tips and tricks. There are samples based on practical examples that will help the reader effectively use parallel programming. By the end of this book, you will be equipped with all the knowledge needed to understand, code, and debug multithreaded, concurrent and parallel programs with confidence. WHAT WILL YOU LEARNÊ - Understand the internals of async/await. - Learn how to build applications using async/await. - Write unit tests for asynchronous methods. - Explore various debugging techniques for enterprise applications. - Discover cool tips, tricks, and best practices to help you avoid common mistakes. WHO THIS BOOK IS FORÊ Beginners and intermediate developers who build enterprise applications using .NET Core platform and tools. Advanced users can also use this book for brushing up fundamentals and for learning debugging tools, techniques, tips, and tricks. TABLE OF CONTENTS 1. Getting Started 2. WhatÕs new in C# 8? 3. .NET Core 3.1 4. Demystifying Threading 5. Parallel Programming 6. The Threading Patterns 7. Synchronization Constructs 8. Unit Testing Parallel and Asynchronous Programs 9. Debugging and Troubleshooting ( Its spelling is incorrect in pdf) 10. Tips and Tricks
Author : Pawel Czarnul
Publisher : CRC Press
Page : 304 pages
File Size : 53,7 Mb
Release : 2018-03-05
Category : Business & Economics
ISBN : 9781351385800
In view of the growing presence and popularity of multicore and manycore processors, accelerators, and coprocessors, as well as clusters using such computing devices, the development of efficient parallel applications has become a key challenge to be able to exploit the performance of such systems. This book covers the scope of parallel programming for modern high performance computing systems. It first discusses selected and popular state-of-the-art computing devices and systems available today, These include multicore CPUs, manycore (co)processors, such as Intel Xeon Phi, accelerators, such as GPUs, and clusters, as well as programming models supported on these platforms. It next introduces parallelization through important programming paradigms, such as master-slave, geometric Single Program Multiple Data (SPMD) and divide-and-conquer. The practical and useful elements of the most popular and important APIs for programming parallel HPC systems are discussed, including MPI, OpenMP, Pthreads, CUDA, OpenCL, and OpenACC. It also demonstrates, through selected code listings, how selected APIs can be used to implement important programming paradigms. Furthermore, it shows how the codes can be compiled and executed in a Linux environment. The book also presents hybrid codes that integrate selected APIs for potentially multi-level parallelization and utilization of heterogeneous resources, and it shows how to use modern elements of these APIs. Selected optimization techniques are also included, such as overlapping communication and computations implemented using various APIs. Features: Discusses the popular and currently available computing devices and cluster systems Includes typical paradigms used in parallel programs Explores popular APIs for programming parallel applications Provides code templates that can be used for implementation of paradigms Provides hybrid code examples allowing multi-level parallelization Covers the optimization of parallel programs
Author : Stan Openshaw,Ian Turton
Publisher : Routledge
Page : 260 pages
File Size : 45,8 Mb
Release : 2005-09-19
Category : Science
ISBN : 9781134729715
This book provides a non-technical introduction to High Performance Computing applications together with advice about how beginners can start to write parallel programs. The authors show what HPC can offer geographers and social scientists and how it can be used in GIS. They provide examples of where it has already been used and suggestions for other areas of application in geography and the social sciences. Case studies drawn from geography explain the key principles and help to understand the logic and thought processes that lie behind the parallel programming.
Author : Thomas Rauber,Gudula R Nger
Publisher : Springer Science & Business Media
Page : 463 pages
File Size : 41,9 Mb
Release : 2010-03-10
Category : Computers
ISBN : 9783642048173
Innovations in hardware architecture, like hyper-threading or multicore processors, mean that parallel computing resources are available for inexpensive desktop computers. In only a few years, many standard software products will be based on concepts of parallel programming implemented on such hardware, and the range of applications will be much broader than that of scientific computing, up to now the main application area for parallel computing. Rauber and Rünger take up these recent developments in processor architecture by giving detailed descriptions of parallel programming techniques that are necessary for developing efficient programs for multicore processors as well as for parallel cluster systems and supercomputers. Their book is structured in three main parts, covering all areas of parallel computing: the architecture of parallel systems, parallel programming models and environments, and the implementation of efficient application algorithms. The emphasis lies on parallel programming techniques needed for different architectures. The main goal of the book is to present parallel programming techniques that can be used in many situations for many application areas and which enable the reader to develop correct and efficient parallel programs. Many examples and exercises are provided to show how to apply the techniques. The book can be used as both a textbook for students and a reference book for professionals. The presented material has been used for courses in parallel programming at different universities for many years.
Author : D.J. Hemanth,M. Elhosney,T.N. Nguyen
Publisher : IOS Press
Page : 450 pages
File Size : 40,6 Mb
Release : 2021-11-25
Category : Computers
ISBN : 9781643682198
Recent developments in parallel computing mean that the use of machine learning techniques and intelligence to handle the huge volume of available data have brought the faster solutions offered by advanced technologies to various fields of application. This book presents the proceedings of the Virtual International Conference on Advances in Parallel Computing Technologies and Applications (ICAPTA 2021), hosted in Justice Basheer Ahmed Sayeed College for women (formerly "S.I.E.T Women's College"), Chennai, India, and held online as a virtual event on 15 and 16 April 2021. The aim of the conference was to provide a forum for sharing knowledge in various aspects of parallel computing in communications systems and networking, including cloud and virtualization solutions, management technologies, and vertical application areas. It also provided a platform for scientists, researchers, practitioners and academicians to present and discuss the most recent innovations and trends, as well as the concerns and practical challenges encountered in this field. Included here are 52 full length papers, selected from over 100 submissions based on the reviews and comments of subject experts. Topics covered include parallel computing in communication, machine learning intelligence for parallel computing and parallel computing for software services in theoretical and practical aspects. Providing an overview of the latest developments in the field, the book will be of interest to all those whose work involves the use of parallel computing technologies.
