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Mohammad In-Memory Computing Hardware Accelerators for Data-Intensive Applications 9783031342332
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In-Memory Computing Hardware Accelerators for Data-Intensive Applications, Mohammad


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Цена: 10976.00р.
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Автор: Mohammad
Название:  In-Memory Computing Hardware Accelerators for Data-Intensive Applications
ISBN: 9783031342332
Издательство: Springer
Классификация:

ISBN-10: 303134233X
Вес: 0.00 кг.
Дата издания: 09.10.2023
Язык: English
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии


Circuit modeling of inductively-coupled pulsed accelerators

Автор: Polzin, Kurt Alexander et al.
Название: Circuit modeling of inductively-coupled pulsed accelerators
ISBN: 0367349000 ISBN-13(EAN): 9780367349004
Издательство: Taylor&Francis
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Цена: 13779.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This monograph is of interest to researchers and graduate students in physics, engineering, and mathematics presently studying inductively-coupled pulsed accelerators.

FPGA Based Accelerators for Financial Applications

Автор: Christian De Schryver
Название: FPGA Based Accelerators for Financial Applications
ISBN: 331936278X ISBN-13(EAN): 9783319362786
Издательство: Springer
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Цена: 11397.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Renowned authors from financial mathematics, computer architecture and finance business introduce the readers into today`s challenges in finance IT, illustrate the most advanced approaches and use cases and present currently known methodologies for integrating FPGAs in finance systems together with latest results.

Thread and Data Mapping for Multicore Systems

Автор: H. M. Cruz
Название: Thread and Data Mapping for Multicore Systems
ISBN: 3319910736 ISBN-13(EAN): 9783319910734
Издательство: Springer
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Цена: 6097.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: preface.- chapter 1: introduction.- chapter 2: Sharing-aware mapping and parallel architectures.- chapter 3: Sharing-aware mapping and parallel applications.- chapter 4: Sharing-Aware mapping methods.- chapter 5: Improving performance with Sharing-Aware mapping.- chapter 6: conclusion and research prospects.- index.

Learning Computer Architecture with Raspberry Pi

Автор: Upton Eben, Duntemann Jeffrey
Название: Learning Computer Architecture with Raspberry Pi
ISBN: 1119183936 ISBN-13(EAN): 9781119183938
Издательство: Wiley
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Цена: 3802.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Use your Raspberry Pi to get smart about computing fundamentals In the 1980s, the tech revolution was kickstarted by a flood of relatively inexpensive, highly programmable computers like the Commodore. Now, a second revolution in computing is beginning with the Raspberry Pi.

Reconfigurable Computing

Автор: Joao Cardoso; Michael H?bner
Название: Reconfigurable Computing
ISBN: 1489988599 ISBN-13(EAN): 9781489988591
Издательство: Springer
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Цена: 14817.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: As modern embedded systems increase in complexity, reconfigurable computing, with its flexible design parameters, is becoming more widely adopted. This book covers both hardware and software aspects to help designers become more acquainted with the issues.

Heterogeneous Computing: Hardware and Software Perspectives

Автор: Zahran Mohamed
Название: Heterogeneous Computing: Hardware and Software Perspectives
ISBN: 1450360971 ISBN-13(EAN): 9781450360975
Издательство: Mare Nostrum (Eurospan)
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Цена: 7769.00 р.
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Описание:

If you look around you will find that all computer systems, from your portable devices to the strongest supercomputers, are heterogeneous in nature.

The most obvious heterogeneity is the existence of computing nodes of different capabilities (e.g. multicore, GPUs, FPGAs, ...). But there are also other heterogeneity factors that exist in computing systems, like the memory system components, interconnection, etc. The main reason for these different types of heterogeneity is to have good performance with power efficiency.

Heterogeneous computing results in both challenges and opportunities. This book discusses both. It shows that we need to deal with these challenges at all levels of the computing stack: from algorithms all the way to process technology. We discuss the topic of heterogeneous computing from different angles: hardware challenges, current hardware state-of-the-art, software issues, how to make the best use of the current heterogeneous systems, and what lies ahead.

The aim of this book is to introduce the big picture of heterogeneous computing. Whether you are a hardware designer or a software developer, you need to know how the pieces of the puzzle fit together. The main goal is to bring researchers and engineers to the forefront of the research frontier in the new era that started a few years ago and is expected to continue for decades. We believe that academics, researchers, practitioners, and students will benefit from this book and will be prepared to tackle the big wave of heterogeneous computing that is here to stay.

In-Memory Computing Hardware Accelerators for Data-Intensive Applications

Автор: Mohammad
Название: In-Memory Computing Hardware Accelerators for Data-Intensive Applications
ISBN: 3031342321 ISBN-13(EAN): 9783031342325
Издательство: Springer
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Цена: 10976.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book describes the state-of-the-art of technology and research on In-Memory Computing Hardware Accelerators for Data-Intensive Applications. The authors discuss how processing-centric computing has become insufficient to meet target requirements and how Memory-centric computing may be better suited for the needs of current applications. This reveals for readers how current and emerging memory technologies are causing a shift in the computing paradigm. The authors do deep-dive discussions on volatile and non-volatile memory technologies, covering their basic memory cell structures, operations, different computational memory designs and the challenges associated with them. Specific case studies and potential applications are provided along with their current status and commercial availability in the market.

Hardware Accelerators in Data Centers

Автор: Kachris
Название: Hardware Accelerators in Data Centers
ISBN: 3319927914 ISBN-13(EAN): 9783319927916
Издательство: Springer
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Цена: 17074.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book provides readers with an overview of the architectures, programming frameworks, and hardware accelerators for typical cloud computing applications in data centers.

From Variability Tolerance to Approximate Computing in Parallel Integrated Architectures and Accelerators

Автор: Abbas Rahimi; Luca Benini; Rajesh K. Gupta
Название: From Variability Tolerance to Approximate Computing in Parallel Integrated Architectures and Accelerators
ISBN: 3319852396 ISBN-13(EAN): 9783319852393
Издательство: Springer
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Цена: 12196.00 р.
Наличие на складе: Нет в наличии.

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.

Fpga-Based Hardware Accelerators

Автор: Skliarova Iouliia, Sklyarov Valery
Название: Fpga-Based Hardware Accelerators
ISBN: 3030207234 ISBN-13(EAN): 9783030207236
Издательство: Springer
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Цена: 15855.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The methods proposed can be used in a range of data processing applications, including traditional sorting, the extraction of maximum and minimum subsets from large data sets, communication-time data processing, finding frequently occurring items in a set, and Hamming weight/distance counters/comparators.

Artificial Intelligence and Hardware Accelerators

Автор: Mishra
Название: Artificial Intelligence and Hardware Accelerators
ISBN: 3031221699 ISBN-13(EAN): 9783031221699
Издательство: Springer
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Цена: 10366.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book explores new methods, architectures, tools, and algorithms for Artificial Intelligence Hardware Accelerators. The authors have structured the material to simplify readers’ journey toward understanding the aspects of designing hardware accelerators, complex AI algorithms, and their computational requirements, along with the multifaceted applications. Coverage focuses broadly on the hardware aspects of training, inference, mobile devices, and autonomous vehicles (AVs) based AI accelerators

FPGA-BASED Hardware Accelerators

Автор: Iouliia Skliarova; Valery Sklyarov
Название: FPGA-BASED Hardware Accelerators
ISBN: 303020720X ISBN-13(EAN): 9783030207205
Издательство: Springer
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Цена: 15855.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book suggests and describes a number of fast parallel circuits for data/vector processing using FPGA-based hardware accelerators. Three primary areas are covered: searching, sorting, and counting in combinational and iterative networks. These include the application of traditional structures that rely on comparators/swappers as well as alternative networks with a variety of core elements such as adders, logical gates, and look-up tables. The iterative technique discussed in the book enables the sequential reuse of relatively large combinational blocks that execute many parallel operations with small propagation delays. For each type of network discussed, the main focus is on the step-by-step development of the architectures proposed from initial concepts to synthesizable hardware description language specifications. Each type of network is taken through several stages, including modeling the desired functionality in software, the retrieval and automatic conversion of key functions, leading to specifications for optimized hardware modules. The resulting specifications are then synthesized, implemented, and tested in FPGAs using commercial design environments and prototyping boards. The methods proposed can be used in a range of data processing applications, including traditional sorting, the extraction of maximum and minimum subsets from large data sets, communication-time data processing, finding frequently occurring items in a set, and Hamming weight/distance counters/comparators. The book is intended to be a valuable support material for university and industrial engineering courses that involve FPGA-based circuit and system design.


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