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Cuda Programming, Cook, Shane


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Цена: 6230.00р.
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Автор: Cook, Shane
Название:  Cuda Programming
ISBN: 9780124159334
Издательство: Elsevier Science
Классификация:
ISBN-10: 0124159338
Обложка/Формат: Paperback
Страницы: 592
Вес: 1.14 кг.
Дата издания: 07.12.2012
Язык: English
Размер: 191 x 235 x 24
Читательская аудитория: Professional & vocational
Основная тема: Computer Org
Подзаголовок: A developer`s guide to parallel computing with gpus
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание: A guide to CUDA. It features chapters on core concepts including threads, blocks, grids, and memory focus on both parallel and CUDA-specific issues. It demonstrates CUDA in practice for optimizing applications, adjusting to new hardware, and solving common problems.


SIMD Programming Manual for Linux and Windows

Автор: Cockshott Paul, Renfrew Kenneth
Название: SIMD Programming Manual for Linux and Windows
ISBN: 185233794X ISBN-13(EAN): 9781852337940
Издательство: Springer
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Цена: 14184.00 р. 20263.00 -30%
Наличие на складе: Есть (1 шт.)
Описание: The book is intended as a programmer’s introduction to the use of SIMD on PCs. It presents the underlying technology of SIMD processing on current PCs and looks at tools to exploit this including the Intel SIMD library and the Parallel Processing Language Vector Pascal. It explains how to cast algorithms in parallel to exploit the parallel processing capability of standard PCs obtaining large performance gains relative to conventional sequential compilers. It assumes a familiarity with imperative programming but not specifically with Pascal. It does not assume any prior familiarity with the SIMD programming model. The language translation system will be available either as a downloadable for Linux or Windows in association with the book. This book will be particularly useful for programmers in the rapidly growing area of games and multi-media entertainment, and it would also to academics interested in parallel programming techniques or array programming languages.

Scaling OpenMP for Exascale Performance and Portability

Автор: Bronis R. de Supinski; Stephen L. Olivier; Christi
Название: Scaling OpenMP for Exascale Performance and Portability
ISBN: 3319655779 ISBN-13(EAN): 9783319655772
Издательство: Springer
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Цена: 9083.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book constitutes the proceedings of the 13th International Workshop on OpenMP, IWOMP 2017, held in Stony Brook, NY, USA, in September 2017. The 23 full papers presented in this volume were carefully reviewed and selected from 28 submissions. OpenMP Application Studies; OpenMP 4 Application Evaluation;

Coordination Models and Languages

Автор: David Clarke; Gul Agha
Название: Coordination Models and Languages
ISBN: 3642134130 ISBN-13(EAN): 9783642134135
Издательство: Springer
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Цена: 9776.00 р.
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Описание: Constitutes the refereed proceedings of the 12th International Conference on Coordination Models and Languages, COORDINATION 2010, held in Amsterdam, The Netherlands, in June 2010, as one of the federated conferences on Distributed Computing Techniques, DisCoTec 2010.

Hands-On Gpu Programming with Python and Cuda

Автор: Tuomanen Dr Brian
Название: Hands-On Gpu Programming with Python and Cuda
ISBN: 1788993918 ISBN-13(EAN): 9781788993913
Издательство: Неизвестно
Цена: 9010.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: GPUs are designed for maximum throughput, but are subject to low-level subtleties. In contrast, Python is a high-level language that favours ease of use over speed. In this book, we will combine the power of both Python and CUDA to help you create high performing Python applications by using open-source libraries such as PyCUDA and SciKit-CUDA.

Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA

Автор: Vaidya Bhaumik
Название: Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA
ISBN: 1789348293 ISBN-13(EAN): 9781789348293
Издательство: Неизвестно
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Цена: 10114.00 р.
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Описание: This book is a guide to explore how accelerating of computer vision applications using GPUs will help you develop algorithms that work on complex image data in real time. It will solve the problems you face while deploying these algorithms on embedded platforms with the help of development boards from NVIDIA such as the Jetson TX1, Jetson TX2, ...

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.

Job Scheduling Strategies for Parallel Processing

Автор: Klus??ek
Название: Job Scheduling Strategies for Parallel Processing
ISBN: 3319773976 ISBN-13(EAN): 9783319773971
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the thoroughly refereed post-conference proceedings of the 21st International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2017, held in Orlando, FL, USA, in June 2017.The 10 revised full papers presented in this book were carefully reviewed and selected from 20 submissions.

Functional Programming, Glasgow 1994

Автор: Kevin Hammond; David N. Turner; Patrick M. Sansom
Название: Functional Programming, Glasgow 1994
ISBN: 3540199144 ISBN-13(EAN): 9783540199144
Издательство: Springer
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Цена: 15372.00 р.
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Описание: A summary of new research results on functional programming, which includes discussion of theoretical work in bisimilarity and computer algebra, the creation of a cervical smear scanning system, issues in concurrency and parallelism, and compilation methods for functional languages.

LUCAS Associative Array Processor

Автор: Christer Fernstrom; Ivan Kruzela; Bertil Svensson
Название: LUCAS Associative Array Processor
ISBN: 3540164456 ISBN-13(EAN): 9783540164456
Издательство: Springer
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Цена: 10480.00 р.
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Shared Memory Application Programming

Автор: Victor Alessandrini
Название: Shared Memory Application Programming
ISBN: 012803761X ISBN-13(EAN): 9780128037614
Издательство: Elsevier Science
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Цена: 9262.00 р.
Наличие на складе: Поставка под заказ.

Описание:

Shared Memory Application Programming presents the key concepts and applications of parallel programming, in an accessible and engaging style applicable to developers across many domains. Multithreaded programming is today a core technology, at the basis of all software development projects in any branch of applied computer science. This book guides readers to develop insights about threaded programming and introduces two popular platforms for multicore development: OpenMP and Intel Threading Building Blocks (TBB). Author Victor Alessandrini leverages his rich experience to explain each platform's design strategies, analyzing the focus and strengths underlying their often complementary capabilities, as well as their interoperability.

The book is divided into two parts: the first develops the essential concepts of thread management and synchronization, discussing the way they are implemented in native multithreading libraries (Windows threads, Pthreads) as well as in the modern C++11 threads standard. The second provides an in-depth discussion of TBB and OpenMP including the latest features in OpenMP 4.0 extensions to ensure readers' skills are fully up to date. Focus progressively shifts from traditional thread parallelism to modern task parallelism deployed by modern programming environments. Several chapter include examples drawn from a variety of disciplines, including molecular dynamics and image processing, with full source code and a software library incorporating a number of utilities that readers can adapt into their own projects.

  • Designed to introduce threading and multicore programming to teach modern coding strategies for developers in applied computing
  • Leverages author Victor Alessandrini's rich experience to explain each platform's design strategies, analyzing the focus and strengths underlying their often complementary capabilities, as well as their interoperability
  • Includes complete, up-to-date discussions of OpenMP 4.0 and TBB
  • Based on the author's training sessions, including information on source code and software libraries which can be repurposed
Introduction to Distributed Self-Stabilizing Algorithms

Автор: Karine Altisen, Stephane Devismes, Swan Dubois, Franck Petit
Название: Introduction to Distributed Self-Stabilizing Algorithms
ISBN: 1681735385 ISBN-13(EAN): 9781681735382
Издательство: Mare Nostrum (Eurospan)
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Цена: 13999.00 р.
Наличие на складе: Нет в наличии.

Описание: This book aims at being a comprehensive and pedagogical introduction to the concept of self-stabilization , introduced by Edsger Wybe Dijkstra in 1973. Self-stabilization characterizes the ability of a distributed algorithm to converge within finite time to a configuration from which its behavior is correct (i.e., satisfies a given specification), regardless the arbitrary initial configuration of the system. This arbitrary initial configuration may be the result of the occurrence of a finite number of transient faults. Hence, self-stabilization is actually considered as a versatile non-masking fault tolerance approach, since it recovers from the effect of any finite number of such faults in a unified manner. Another major interest of such an automatic recovery method comes from the difficulty of resetting malfunctioning devices in a large-scale (and so, geographically spread) distributed system (the Internet, Pair-to-Pair networks, and Delay Tolerant Networks are examples of such distributed systems). Furthermore, self-stabilization is usually recognized as a lightweight property to achieve fault tolerance as compared to other classical fault tolerance approaches. Indeed, the overhead, both in terms of time and space, of state-of-the-art self-stabilizing algorithms is commonly small. This makes self-stabilization very attractive for distributed systems equipped of processes with low computational and memory capabilities, such as wireless sensor networks. After more than 40 years of existence, self-stabilization is now sufficiently established as an important field of research in theoretical distributed computing to justify its teaching in advanced research-oriented graduate courses. This book is an initiation course, which consists of the formal definition of self-stabilization and its related concepts, followed by a deep review and study of classical (simple) algorithms, commonly used proof schemes and design patterns, as well as premium results issued from the self-stabilizing community. As often happens in the self-stabilizing area, in this book we focus on the proof of correctness and the analytical complexity of the studied distributed self-stabilizing algorithms. Finally, we underline that most of the algorithms studied in this book are actually dedicated to the high-level atomic-state model , which is the most commonly used computational model in the self-stabilizing area. However, in the last chapter, we present general techniques to achieve self-stabilization in the low-level message passing model, as well as example algorithms.

Evolution of Parallel Cellular Machines

Автор: Moshe Sipper
Название: Evolution of Parallel Cellular Machines
ISBN: 3540626131 ISBN-13(EAN): 9783540626138
Издательство: Springer
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Цена: 8384.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This volume examines the behavior of parallel cellular machines, the complex computation they exhibit, and the application of artificial evolution to attain such systems.


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