Exploring the DataFlow Supercomputing Paradigm, Veljko Milutinovic; Milos Kotlar
Автор: Veljko Milutinovi?; Jakob Salom; Nemanja Trifunovi Название: Guide to DataFlow Supercomputing ISBN: 3319162284 ISBN-13(EAN): 9783319162287 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This unique text/reference describes an exciting and novel approach to supercomputing in the DataFlow paradigm. provides a case study on the use of the new approach to accelerate the Cooley-Tukey algorithm on a DataFlow machine;
Автор: Vladimir Voevodin; Sergey Sobolev Название: Supercomputing ISBN: 3030058069 ISBN-13(EAN): 9783030058067 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 4th Russian Supercomputing Days, RuSCDays 2018, held in Moscow, Russia, in September 2018.The 59 revised full papers and one revised short paper presented were carefully reviewed and selected from 136 submissions. The papers are organized in topical sections on parallel algorithms; supercomputer simulation; high performance architectures, tools and technologies.
Автор: Mois?s Torres; Jaime Klapp Название: Supercomputing ISBN: 3030380424 ISBN-13(EAN): 9783030380427 Издательство: Springer Рейтинг: Цена: 10620.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 10th International Conference on Supercomputing, ISUM 2019, held in Monterrey, Mexico, in March 2019.The 25 revised full papers presented were carefully reviewed and selected from 78 submissions. The papers are organized in topical sections on HPC architecture, networks, system software, algorithmic techniques, modeling and system tools, clouds, distributed computing, big data, data analytics, visualization and storage, applications for science and engineering, and emer- ging technologies.
Автор: Sadiku Название: Emerging Internet-Based Technologies ISBN: 0367030292 ISBN-13(EAN): 9780367030292 Издательство: Taylor&Francis Рейтинг: Цена: 11789.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book identifies the seven key emerging Internet-related technologies: Internet of things, smart everything, big data, cloud computing, cybersecurity, software-defined networking, and online education. This book provides researchers, students, and professionals an introduction, applications, benefits, and challenges for each technology.
Автор: Wang Название: High Performance Computing for Big Data ISBN: 1498783996 ISBN-13(EAN): 9781498783996 Издательство: Taylor&Francis Рейтинг: Цена: 16078.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents state-of-the-art research, methodologies, and applications of high performance computing for big data applications. It covers fundamental issues in Big Data research, including emerging architectures for data-intensive applications, novel analytical strategies to boost data processing, and cutting-edge applications.
Автор: Uwe Harms Название: Supercomputer and Chemistry 2 ISBN: 3540544119 ISBN-13(EAN): 9783540544111 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Ottobrunn, November 19-20, 1990
Автор: Voevodin Название: Supercomputing ISBN: 3319712543 ISBN-13(EAN): 9783319712543 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the Third Russian Supercomputing Days, RuSCDays 2017, held in Moscow, Russia, in September 2017.The 41 revised full papers and one revised short paper presented were carefully reviewed and selected from 120 submissions. The papers are organized in topical sections on parallel algorithms;
Автор: Moises Torres; Jaime Klapp; Isidoro Gitler; Andrei Название: Supercomputing ISBN: 3030104478 ISBN-13(EAN): 9783030104474 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 9th International Conference on Supercomputing, ISUM 2018, held in M?rida, Mexico, in March 2018.The 19 revised full papers presented were carefully reviewed and selected from 64 submissions. The papers are organized in topical sections on scheduling, architecture, and programming; parallel computing; applications and HPC.
Название: Contemporary High Performance Computing ISBN: 1138487074 ISBN-13(EAN): 9781138487079 Издательство: Taylor&Francis Рейтинг: Цена: 19140.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book focuses on the ecosystems surrounding the world`s leading centers for high performance computing (HPC). This third volume will be a continuation of the two previous volumes, and will include other HPC ecosystems using the same chapter outline: description of a flagship system, major application workloads, facilities, and sponsors.
Автор: Arnold Название: A Computational Approach to Statistical Learning ISBN: 113804637X ISBN-13(EAN): 9781138046375 Издательство: Taylor&Francis Рейтинг: Цена: 12554.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A Computational Approach to Statistical Learning gives a novel introduction to predictive modeling by focusing on the algorithmic and numeric motivations behind popular statistical methods. The text contains annotated code to over 80 original reference functions. These functions provide minimal working implementations of common statistical learning algorithms. Every chapter concludes with a fully worked out application that illustrates predictive modeling tasks using a real-world dataset. The text begins with a detailed analysis of linear models and ordinary least squares. Subsequent chapters explore extensions such as ridge regression, generalized linear models, and additive models. The second half focuses on the use of general-purpose algorithms for convex optimization and their application to tasks in statistical learning. Models covered include the elastic net, dense neural networks, convolutional neural networks (CNNs), and spectral clustering. A unifying theme throughout the text is the use of optimization theory in the description of predictive models, with a particular focus on the singular value decomposition (SVD). Through this theme, the computational approach motivates and clarifies the relationships between various predictive models. Taylor Arnold is an assistant professor of statistics at the University of Richmond. His work at the intersection of computer vision, natural language processing, and digital humanities has been supported by multiple grants from the National Endowment for the Humanities (NEH) and the American Council of Learned Societies (ACLS). His first book, Humanities Data in R, was published in 2015. Michael Kane is an assistant professor of biostatistics at Yale University. He is the recipient of grants from the National Institutes of Health (NIH), DARPA, and the Bill and Melinda Gates Foundation. His R package bigmemory won the Chamber's prize for statistical software in 2010. Bryan Lewis is an applied mathematician and author of many popular R packages, including irlba, doRedis, and threejs.
Описание: The book introduces the principles of mathematical modeling in science, engineering, and social science as well as basic skills of computer programming. The book is aimed at majors in STEM disciplines that need to understand how to create, analyze, and test mathematical models.
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