Автор: Gao Название: Network and Parallel Computing ISBN: 3319470981 ISBN-13(EAN): 9783319470986 Издательство: Springer Рейтинг: Цена: 6988.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the proceedings of the 13th IFIP WG 10.3International Conference on Network and Parallel Computing, NPC 2016,held in Xi`an, China, in October 2016. The 17 full papers presented were carefully reviewed and selected from 99 submissions. data processing and big data;
Автор: Zhao Gao-Feng Название: High Performance Computing and the Discrete Element Model ISBN: 1785480316 ISBN-13(EAN): 9781785480317 Издательство: Elsevier Science Рейтинг: Цена: 15159.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book addresses the high performance computing of the Discrete Element Model (DEM). It is a comprehensive presentation of parallel implementation of the DEM on three popular parallel computing platforms; the multi-core PC, the GPU computer, and the cluster supercomputer. Featuring accompanying MatLab source this book helps you implement the DEM model for use with high performing technology, for particular implementation of the dynamic failure of solids, granular flow and stress wave propagation through solids.
Описание: Includes the refereed proceedings of the 15th International GI/ITG Conference on `Measurement, Modelling and Evaluation of Computing Systems` and `Dependability and Fault Tolerance`, held in Essen, Germany, in March 2010.
Автор: Vikram Adve; Mar?a Jes?s Garzar?n; Paul Petersen Название: Languages and Compilers for Parallel Computing ISBN: 3540852603 ISBN-13(EAN): 9783540852605 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed post-conference proceedings of the 20th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2007, held in Urbana, IL, USA, in October 2007. This work is organized in topical sections on reliability, languages, parallel compiler technology, libraries and general compiler techniques.
Автор: Magoules Frdric Название: Parallel Scientific Computing ISBN: 1848215819 ISBN-13(EAN): 9781848215818 Издательство: Wiley Рейтинг: Цена: 22010.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Parallel Computing presents scientific computing techniques applied to parallel computing for the numerical simulation of large-scale problems, which result from systems modeled by partial differential equations.
Автор: Samuel Kounev; Jeffrey O. Kephart; Aleksandar Mile Название: Self-Aware Computing Systems ISBN: 3319474723 ISBN-13(EAN): 9783319474724 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides formal and informal definitions and taxonomies for self-aware computing systems, and explains how self-aware computing relates to many existing subfields of computer science, especially software engineering.
The purpose of the 12th Conference Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2011) held on July 6-8, 2011 in Sydney, Australia was to bring together scientists, engineers, computer users, and students to share their experiences and exchange new ideas and research results about all aspects (theory, applications and tools) of computer and information sciences, and to discuss the practical challenges encountered along the way and the solutions adopted to solve them.
The conference organizers selected 14 outstanding papers from SNPD 2011, all of which you will find in this volume of Springer s Studies in Computational Intelligence. "
Автор: Balaji Pavan Название: Programming Models for Parallel Computing ISBN: 0262528819 ISBN-13(EAN): 9780262528818 Издательство: MIT Press Рейтинг: Цена: 10157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
With the coming of the parallel computing era, computer scientists have turned their attention to designing programming models that are suited for high-performance parallel computing and supercomputing systems. Programming parallel systems is complicated by the fact that multiple processing units are simultaneously computing and moving data. This book offers an overview of some of the most prominent parallel programming models used in high-performance computing and supercomputing systems today.
The chapters describe the programming models in a unique tutorial style rather than using the formal approach taken in the research literature. The aim is to cover a wide range of parallel programming models, enabling the reader to understand what each has to offer. The book begins with a description of the Message Passing Interface (MPI), the most common parallel programming model for distributed memory computing. It goes on to cover one-sided communication models, ranging from low-level runtime libraries (GASNet, OpenSHMEM) to high-level programming models (UPC, GA, Chapel); task-oriented programming models (Charm++, ADLB, Scioto, Swift, CnC) that allow users to describe their computation and data units as tasks so that the runtime system can manage computation and data movement as necessary; and parallel programming models intended for on-node parallelism in the context of multicore architecture or attached accelerators (OpenMP, Cilk Plus, TBB, CUDA, OpenCL). The book will be a valuable resource for graduate students, researchers, and any scientist who works with data sets and large computations.
ContributorsTimothy Armstrong, Michael G. Burke, Ralph Butler, Bradford L. Chamberlain, Sunita Chandrasekaran, Barbara Chapman, Jeff Daily, James Dinan, Deepak Eachempati, Ian T. Foster, William D. Gropp, Paul Hargrove, Wen-mei Hwu, Nikhil Jain, Laxmikant Kale, David Kirk, Kath Knobe, Ariram Krishnamoorthy, Jeffery A. Kuehn, Alexey Kukanov, Charles E. Leiserson, Jonathan Lifflander, Ewing Lusk, Tim Mattson, Bruce Palmer, Steven C. Pieper, Stephen W. Poole, Arch D. Robison, Frank Schlimbach, Rajeev Thakur, Abhinav Vishnu, Justin M. Wozniak, Michael Wilde, Kathy Yelick, Yili Zheng
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