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

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: 91860.00 T
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.

Автор: Christoforos Kachris; Babak Falsafi; Dimitrios Sou
Название: Hardware Accelerators in Data Centers
ISBN: 3030065189 ISBN-13(EAN): 9783030065188
Издательство: Springer
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Цена: 130430.00 T
Наличие на складе: 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. The authors present the most recent and promising solutions, using hardware accelerators to provide high throughput, reduced latency and higher energy efficiency compared to current servers based on commodity processors. Readers will benefit from state-of-the-art information regarding application requirements in contemporary data centers, computational complexity of typical tasks in cloud computing, and a programming framework for the efficient utilization of the hardware accelerators.

Автор: Kachris
Название: Hardware Accelerators in Data Centers
ISBN: 3319927914 ISBN-13(EAN): 9783319927916
Издательство: Springer
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Цена: 130430.00 T
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.

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: 93160.00 T
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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: Skliarova Iouliia, Sklyarov Valery
Название: Fpga-Based Hardware Accelerators
ISBN: 3030207234 ISBN-13(EAN): 9783030207236
Издательство: Springer
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Цена: 121110.00 T
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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.

Автор: Mishra
Название: Artificial Intelligence and Hardware Accelerators
ISBN: 3031221699 ISBN-13(EAN): 9783031221699
Издательство: Springer
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Цена: 79190.00 T
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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

Автор: Iouliia Skliarova; Valery Sklyarov
Название: FPGA-BASED Hardware Accelerators
ISBN: 303020720X ISBN-13(EAN): 9783030207205
Издательство: Springer
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Цена: 121110.00 T
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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.

Автор: Krishna, Tushar Kwon, Hyoukjun Parashar, Angshuman Pellauer, Michael Samajdar, Ananda
Название: Data Orchestration in Deep Learning Accelerators
ISBN: 3031006399 ISBN-13(EAN): 9783031006395
Издательство: Springer
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Цена: 55890.00 T
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Описание: This Synthesis Lecture focuses on techniques for efficient data orchestration within DNN accelerators. therefore, DNN accelerators require careful orchestration of data across on-chip compute, network, and memory elements to minimize the number of accesses to external DRAM.

Название: Fpga based accelerators for financial applications
ISBN: 3319154060 ISBN-13(EAN): 9783319154060
Издательство: Springer
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Цена: 113190.00 T
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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.

Автор: Mitsuhisa Sato; Toshihiro Hanawa; Matthias S. M?ll
Название: Beyond Loop Level Parallelism in OpenMP: Accelerators, Tasking and More
ISBN: 3642132162 ISBN-13(EAN): 9783642132162
Издательство: Springer
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Цена: 65210.00 T
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Описание: Constitutes the refereed proceedings of the 6th International Workshop on OpenMP, IWOMP 2010, held in Tsukuba City, Japan, in June 2010.

Автор: Varma
Название: Architecture Exploration of FPGA Based Accelerators for BioInformatics Applications
ISBN: 9811092036 ISBN-13(EAN): 9789811092039
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book presents an evaluation methodology to design future FPGA fabrics incorporating hard embedded blocks (HEBs) to accelerate applications. This methodology will be useful for selection of blocks to be embedded into the fabric and for evaluating the performance gain that can be achieved by such an embedding. The authors illustrate the use of their methodology by studying the impact of HEBs on two important bioinformatics applications: protein docking and genome assembly. The book also explains how the respective HEBs are designed and how hardware implementation of the application is done using these HEBs. It shows that significant speedups can be achieved over pure software implementations by using such FPGA-based accelerators. The methodology presented in this book may also be used for designing HEBs for accelerating software implementations in other domains besides bioinformatics. This book will prove useful to students, researchers, and practicing engineers alike.

Автор: Christian De Schryver
Название: FPGA Based Accelerators for Financial Applications
ISBN: 331936278X ISBN-13(EAN): 9783319362786
Издательство: Springer
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Цена: 87060.00 T
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.