Описание: This book provides an overview of and essential insights on invasive computing. The book provides extensive experimental evaluations, investigating the benefits of applying invasive computing and hybrid application mapping to give guarantees on non-functional properties such as timing, energy, and security.
Описание: This book focuses on computing devices and their design at various levels to combat variability. These can be combined in various ways to achieve specific goals related to observability and controllability of the variability effects, providing means to achieve cross layer or hybrid resilience.
Автор: Quan Chen; Minyi Guo Название: Task Scheduling for Multi-core and Parallel Architectures ISBN: 9811062374 ISBN-13(EAN): 9789811062377 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents task-scheduling techniques for emerging complex parallel architectures including heterogeneous multi-core architectures, warehouse-scale datacenters, and distributed big data processing systems.
Автор: Ioannis Vourkas; Georgios Ch. Sirakoulis Название: Memristor-Based Nanoelectronic Computing Circuits and Architectures ISBN: 3319373595 ISBN-13(EAN): 9783319373591 Издательство: Springer Рейтинг: Цена: 14365.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: High-density memristive data storage combined with memristive circuit-design paradigms and computational tools applied to solve NP-hard artificial intelligence problems, as well as memristive arithmetic-logic units, certainly pave the way for a very promising memristive era in future electronic systems.
Описание: New Algorithms, Architectures and Applications for Reconfigurable Computing consists of a collection of contributions from the authors of some of the best papers from the Field Programmable Logic conference (FPL`03) and the Design and Test Europe conference (DATE`03).
Автор: Diana Goehringer; Marco Domenico Santambrogio; Jo? Название: Reconfigurable Computing: Architectures, Tools, and Applications ISBN: 3319059599 ISBN-13(EAN): 9783319059594 Издательство: Springer Рейтинг: Цена: 10201.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the thoroughly refereed conference proceedings of the 10th International Symposium on Reconfigurable Computing: Architectures, Tools and Applications, ARC 2014, held in Vilamoura, Portugal, in April 2014.
Автор: Kashif Munir Название: Advancing Consumer-Centric Fog Computing Architectures ISBN: 1522571493 ISBN-13(EAN): 9781522571490 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 30631.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Due to a rapidly growing number of devices and communications, cloud computing has begun to fall behind on its ability to adequately process today’s technology. Additionally, companies have begun to look for solutions that would help reduce their infrastructure costs and improve profitability. Fog computing, a paradigm that extends cloud computing and services to the edge of the network, has presented itself as a viable solution and cost-saving method. However, before businesses can implement this new method, concerns regarding its security, privacy, availability, and data protection must be addressed.Advancing Consumer-Centric Fog Computing Architectures is a collection of innovative research on the methods and applications of fog computing in technological, business, and organizational dimensions. Thoroughly examining fog computing with respect to issues of management, trust and privacy, governance, and interoperability, this publication highlights a range of topics including access control mechanism, data confidentiality, and service-oriented architecture. This book is ideally designed for academicians, researchers, software developers, IT professionals, policymakers, technology designers, graduate-level students, managers, and business owners.
Автор: J?rgen Becker; Roger Woods; Peter Athanas; Feargha Название: Reconfigurable Computing: Architectures, Tools and Applications ISBN: 364200640X ISBN-13(EAN): 9783642006401 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed proceedings of the 5th International Workshop on Applied Reconfigurable Computing, ARC 2009, held in Karlsruhe, Germany, in March 2009. This title presents 21 full papers and 21 short papers together with the abstracts of 3 keynote lectures that were reviewed and selected from about 100 submissions.
Автор: Guojin Wang; Albert Zomaya; Gregorio Martinez; Ken Название: Algorithms and Architectures for Parallel Processing ISBN: 3319271601 ISBN-13(EAN): 9783319271606 Издательство: Springer Рейтинг: Цена: 13416.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Trust, security and privacy for Big Data.- Trust, security and privacy for emerging applications.- Network optimization and performance evaluation.- Sensor-cloud systems.- Security and privacy protection in computer and network Systems.- Dependability in sensor, cloud, and Big Data systems.
Автор: Quan Chen; Minyi Guo Название: Task Scheduling for Multi-core and Parallel Architectures ISBN: 9811348359 ISBN-13(EAN): 9789811348358 Издательство: Springer Рейтинг: Цена: 12577.00 р. Наличие на складе: Поставка под заказ.
Описание: This book presents task-scheduling techniques for emerging complex parallel architectures including heterogeneous multi-core architectures, warehouse-scale datacenters, and distributed big data processing systems.
Автор: Nan Zheng, Pinaki Mazumder Название: Learning in Energy–Efficient Neuromorphic Computing ISBN: 1119507383 ISBN-13(EAN): 9781119507383 Издательство: Wiley Рейтинг: Цена: 15990.00 р. Наличие на складе: Поставка под заказ.
Описание:
Explains current co-design and co-optimization methodologies for building hardware neural networks and algorithms for machine learning applications
This book focuses on how to build energy-efficient hardware for neural networks with learning capabilities--and provides co-design and co-optimization methodologies for building hardware neural networks that can learn. Presenting a complete picture from high-level algorithm to low-level implementation details, Learning in Energy-Efficient Neuromorphic Computing: Algorithm and Architecture Co-Design also covers many fundamentals and essentials in neural networks (e.g., deep learning), as well as hardware implementation of neural networks.
The book begins with an overview of neural networks. It then discusses algorithms for utilizing and training rate-based artificial neural networks. Next comes an introduction to various options for executing neural networks, ranging from general-purpose processors to specialized hardware, from digital accelerator to analog accelerator. A design example on building energy-efficient accelerator for adaptive dynamic programming with neural networks is also presented. An examination of fundamental concepts and popular learning algorithms for spiking neural networks follows that, along with a look at the hardware for spiking neural networks. Then comes a chapter offering readers three design examples (two of which are based on conventional CMOS, and one on emerging nanotechnology) to implement the learning algorithm found in the previous chapter. The book concludes with an outlook on the future of neural network hardware.
Includes cross-layer survey of hardware accelerators for neuromorphic algorithms
Covers the co-design of architecture and algorithms with emerging devices for much-improved computing efficiency
Focuses on the co-design of algorithms and hardware, which is especially critical for using emerging devices, such as traditional memristors or diffusive memristors, for neuromorphic computing
Learning in Energy-Efficient Neuromorphic Computing: Algorithm and Architecture Co-Design is an ideal resource for researchers, scientists, software engineers, and hardware engineers dealing with the ever-increasing requirement on power consumption and response time. It is also excellent for teaching and training undergraduate and graduate students about the latest generation neural networks with powerful learning capabilities.
Автор: Nikolaos Voros; Michael Huebner; Georgios Keramida Название: Applied Reconfigurable Computing. Architectures, Tools, and Applications ISBN: 3319788892 ISBN-13(EAN): 9783319788890 Издательство: Springer Рейтинг: Цена: 12578.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the proceedings of the 14th International Conference on Applied Reconfigurable Computing, ARC 2018, held in Santorini, Greece, in May 2018. The 29 full papers and 22 short presented in this volume were carefully reviewed and selected from 78 submissions. In addition, the volume contains 9 contributions from research projects. The papers were organized in topical sections named: machine learning and neural networks; FPGA-based design and CGRA optimizations; applications and surveys; fault-tolerance, security and communication architectures; reconfigurable and adaptive architectures; design methods and fast prototyping; FPGA-based design and applications; and special session: research projects.
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