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Parallel and Distributed Logic Programming, Alakananda Bhattacharya; Amit Konar; Ajit K. Manda


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Цена: 23058.00р.
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При оформлении заказа до: 2025-07-28
Ориентировочная дата поставки: Август-начало Сентября
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Автор: Alakananda Bhattacharya; Amit Konar; Ajit K. Manda
Название:  Parallel and Distributed Logic Programming
ISBN: 9783642070082
Издательство: Springer
Классификация:



ISBN-10: 3642070086
Обложка/Формат: Paperback
Страницы: 304
Вес: 0.47 кг.
Дата издания: 2006
Серия: Studies in Computational Intelligence
Язык: English
Издание: 1st ed. softcover of
Иллюстрации: 10 black & white tables, biography
Размер: 234 x 156 x 17
Читательская аудитория: Professional & vocational
Подзаголовок: Towards the design of a framework for the next generation database machines
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book introduces the parallel and distributed approach to logic programming, examining existing models of distributed logic programming, and proposing an alternative framework for distributed logic programming using extended Petri nets.


Programming Distributed Computing Systems

Автор: Varela Carlos A
Название: Programming Distributed Computing Systems
ISBN: 0262018985 ISBN-13(EAN): 9780262018982
Издательство: MIT Press
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Цена: 5775.00 р.
Наличие на складе: Нет в наличии.

Описание: An introduction to fundamental theories of concurrent computation and associated programming languages for developing distributed and mobile computing systems.

Pro .Net 4 Parallel Programming in C#

Автор: Freeman Adam
Название: Pro .Net 4 Parallel Programming in C#
ISBN: 1430229675 ISBN-13(EAN): 9781430229674
Издательство: Springer
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Цена: 7819.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Parallel programming has been revolutionised in .NET 4 providing, for the first time, a standardised and simplified method for creating robust, scalable and reliable multi-threaded applications. The Parallel Programming features of .NET 4 allow the programmer to create applications that harness the power of multi-core and multi-processor machines. Simpler to use and more powerful than "classic" .NET threads, parallel programming allows the developer to remain focused on the work an application needs to perform.

In Pro .NET 4 Parallel Programming in C#, Adam Freeman presents expert advice that guides you through the process of creating concurrent C# applications from the ground up. You'll be introduced to .NET's parallel programming features, both old and new, discover the key functionality that has been introduced in .NET 4, and learn how you can take advantage of the power of multi-core and multi-processor machines with ease.

Pro .NET 4 Parallel Programming in C# is a reliable companion that will remain with you as you explore the parallel programming universe, elegantly and comprehensively explaining all aspects of parallel programming, guiding you around potential pitfalls and providing clear-cut solutions to the common problems that you will encounter. What you'll learn Develop scalable and robust parallel applications in C#. Design, test and use parallel algorithms and data structures. Understand and implement common parallel design patterns. Avoid common anti-patterns and problems. Use Visual Studio to verify and debug parallel applications. Who this book is for

This book is for .NET developers encountering parallel or multi-threaded programming for the first time. No prior knowledge of multi-threaded programming is required, but the reader should be familiar with basic programming in C# using Visual Studio.

Parallel Programming in OpenMP,

Автор: Rohit Chandra
Название: Parallel Programming in OpenMP,
ISBN: 1558606718 ISBN-13(EAN): 9781558606715
Издательство: Elsevier Science
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Цена: 8757.00 р.
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Описание: OpenMP is an industry standard for programming shared-memory and distributed shared-memory multiprocessors. This book teaches the parallel programmers how to program using this standard. It presents the basic OpenMP constructs in FORTRAN, C, and C++. It emphasizes practical concepts to address the concerns of real application developers.

UPC: Distributed Shared Memory Programming

Автор: Tarek El-Ghazawi
Название: UPC: Distributed Shared Memory Programming
ISBN: 0471220485 ISBN-13(EAN): 9780471220480
Издательство: Wiley
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Цена: 21376.00 р.
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Описание: This is the first book to explain the language Unified Parallel C and its use. Authors El-Ghazawi, Carlson, and Sterling are among the developers of UPC, with close links with the industrial members of the UPC consortium. Their text covers background material on parallel architectures and algorithms, and includes UPC programming case studies.

Distributed Algorithms,

Автор: Nancy A. Lynch
Название: Distributed Algorithms,
ISBN: 1558603484 ISBN-13(EAN): 9781558603486
Издательство: Elsevier Science
Рейтинг:
Цена: 20549.00 р.
Наличие на складе: Поставка под заказ.

Описание: A guide to designing, implementing and analyzing distributed algorithms. It covers problems including resource allocation, communication, consensus among distributed processes, data consistency, deadlock detection, leader election and global snapshots.

Programming with JavaScript

Автор: Elliott Eric
Название: Programming with JavaScript
ISBN: 1491950293 ISBN-13(EAN): 9781491950296
Издательство: Wiley
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Цена: 5067.00 р.
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Описание: Take advantage of JavaScript`s power to build robust web-scale or enterprise applications that are easy to extend and maintain. By applying the design patterns outlined in this practical book, experienced JavaScript developers will learn how to write flexible and resilient code that`s easier - yes, easier - to work with as your code base grows.

Structured Parallel Programming,

Автор: Michael McCool
Название: Structured Parallel Programming,
ISBN: 0124159931 ISBN-13(EAN): 9780124159938
Издательство: Elsevier Science
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Цена: 7915.00 р.
Наличие на складе: Поставка под заказ.

Описание: Programming is now parallel programming. This title describes how to design and implement maintainable and efficient parallel algorithms using a pattern-based approach. It includes examples from realistic contexts that illustrate patterns and themes in parallel algorithm design that are widely applicable regardless of implementation technology.


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