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Fpga Based Hardware Accelerators


Fpga Based Hardware Accelerators
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Fpga Based Hardware Accelerators


Fpga Based Hardware Accelerators
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Author : Iouliia Skliarova
language : en
Publisher: Springer
Release Date : 2019-05-30

Fpga Based Hardware Accelerators written by Iouliia Skliarova and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-30 with Technology & Engineering categories.


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.



Fpga Based Accelerators For Financial Applications


Fpga Based Accelerators For Financial Applications
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Author : Christian De Schryver
language : en
Publisher: Springer
Release Date : 2015-07-30

Fpga Based Accelerators For Financial Applications written by Christian De Schryver and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-30 with Technology & Engineering categories.


This book covers the latest approaches and results from reconfigurable computing architectures employed in the finance domain. So-called field-programmable gate arrays (FPGAs) have already shown to outperform standard CPU- and GPU-based computing architectures by far, saving up to 99% of energy depending on the compute tasks. 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. The complete algorithm-to-hardware flow is covered holistically, so this book serves as a hands-on guide for IT managers, researchers and quants/programmers who think about integrating FPGAs into their current IT systems.



Architecture Exploration Of Fpga Based Accelerators For Bioinformatics Applications


Architecture Exploration Of Fpga Based Accelerators For Bioinformatics Applications
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Author : B. Sharat Chandra Varma
language : en
Publisher: Springer
Release Date : 2016-03-02

Architecture Exploration Of Fpga Based Accelerators For Bioinformatics Applications written by B. Sharat Chandra Varma and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-02 with Technology & Engineering categories.


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.



Hardware Accelerators In Data Centers


Hardware Accelerators In Data Centers
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Author : Christoforos Kachris
language : en
Publisher: Springer
Release Date : 2018-08-21

Hardware Accelerators In Data Centers written by Christoforos Kachris and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-21 with Technology & Engineering categories.


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.



Hardware Accelerator Systems For Artificial Intelligence And Machine Learning


Hardware Accelerator Systems For Artificial Intelligence And Machine Learning
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Author :
language : en
Publisher: Academic Press
Release Date : 2021-03-28

Hardware Accelerator Systems For Artificial Intelligence And Machine Learning written by and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-28 with Computers categories.


Hardware Accelerator Systems for Artificial Intelligence and Machine Learning, Volume 122 delves into arti?cial Intelligence and the growth it has seen with the advent of Deep Neural Networks (DNNs) and Machine Learning. Updates in this release include chapters on Hardware accelerator systems for artificial intelligence and machine learning, Introduction to Hardware Accelerator Systems for Artificial Intelligence and Machine Learning, Deep Learning with GPUs, Edge Computing Optimization of Deep Learning Models for Specialized Tensor Processing Architectures, Architecture of NPU for DNN, Hardware Architecture for Convolutional Neural Network for Image Processing, FPGA based Neural Network Accelerators, and much more. Updates on new information on the architecture of GPU, NPU and DNN Discusses In-memory computing, Machine intelligence and Quantum computing Includes sections on Hardware Accelerator Systems to improve processing efficiency and performance



Architecting And Building High Speed Socs


Architecting And Building High Speed Socs
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Author : Mounir Maaref
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-12-09

Architecting And Building High Speed Socs written by Mounir Maaref and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-09 with Computers categories.


Design a high-speed SoC while gaining a holistic view of the FPGA design flow and overcoming its challenges. Purchase of the print or kindle book includes a free eBook in the PDF format. Key FeaturesUse development tools to implement and verify an SoC, including ARM CPUs and the FPGA logicOvercome the challenge of time to market by using FPGA SoCs and avoid the prohibitive ASIC NRE costUnderstand the integration of custom logic accelerators and the SoC software and build themBook Description Modern and complex SoCs can adapt to many demanding system requirements by combining the processing power of ARM processors and the feature-rich Xilinx FPGAs. You'll need to understand many protocols, use a variety of internal and external interfaces, pinpoint the bottlenecks, and define the architecture of an SoC in an FPGA to produce a superior solution in a timely and cost-efficient manner. This book adopts a practical approach to helping you master both the hardware and software design flows, understand key interconnects and interfaces, analyze the system performance and enhance it using the acceleration techniques, and finally build an RTOS-based software application for an advanced SoC design. You'll start with an introduction to the FPGA SoCs technology fundamentals and their associated development design tools. Gradually, the book will guide you through building the SoC hardware and software, starting from the architecture definition to testing on a demo board or a virtual platform. The level of complexity evolves as the book progresses and covers advanced applications such as communications, security, and coherent hardware acceleration. By the end of this book, you'll have learned the concepts underlying FPGA SoCs' advanced features and you'll have constructed a high-speed SoC targeting a high-end FPGA from the ground up. What you will learnUnderstand SoC FPGAs' main features, advanced buses and interface protocolsDevelop and verify an SoC hardware platform targeting an FPGA-based SoCExplore and use the main tools for building the SoC hardware and softwareBuild advanced SoCs using hardware acceleration with custom IPsImplement an OS-based software application targeting an FPGA-based SoCUnderstand the hardware and software integration techniques for SoC FPGAsUse tools to co-debug the SoC software and hardwareGain insights into communication and DSP principles in FPGA-based SoCsWho this book is for This book is for FPGA and ASIC hardware and firmware developers, IoT engineers, SoC architects, and anyone interested in understanding the process of developing a complex SoC, including all aspects of the hardware design and the associated firmware design. Prior knowledge of digital electronics, and some experience of coding in VHDL or Verilog and C or a similar language suitable for embedded systems will be required for using this book. A general understanding of FPGA and CPU architecture will also be helpful but not mandatory.



Fpga Accelerated Simulation Of Computer Systems


Fpga Accelerated Simulation Of Computer Systems
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Author : Hari Angepat
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2014-07-01

Fpga Accelerated Simulation Of Computer Systems written by Hari Angepat and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-01 with Computers categories.


To date, the most common form of simulators of computer systems are software-based running on standard computers. One promising approach to improve simulation performance is to apply hardware, specifically reconfigurable hardware in the form of field programmable gate arrays (FPGAs). This manuscript describes various approaches of using FPGAs to accelerate software-implemented simulation of computer systems and selected simulators that incorporate those techniques. More precisely, we describe a simulation architecture taxonomy that incorporates a simulation architecture specifically designed for FPGA accelerated simulation, survey the state-of-the-art in FPGA-accelerated simulation, and describe in detail selected instances of the described techniques. Table of Contents: Preface / Acknowledgments / Introduction / Simulator Background / Accelerating Computer System Simulators with FPGAs / Simulation Virtualization / Categorizing FPGA-based Simulators / Conclusion / Bibliography / Authors' Biographies



Hardware Acceleration Of Eda Algorithms


Hardware Acceleration Of Eda Algorithms
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Author : Sunil P Khatri
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-03-11

Hardware Acceleration Of Eda Algorithms written by Sunil P Khatri and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-03-11 with Technology & Engineering categories.


Single-threaded software applications have ceased to see signi?cant gains in p- formance on a general-purpose CPU, even with further scaling in very large scale integration (VLSI) technology. This is a signi?cant problem for electronic design automation (EDA) applications, since the design complexity of VLSI integrated circuits (ICs) is continuously growing. In this research monograph, we evaluate custom ICs, ?eld-programmable gate arrays (FPGAs), and graphics processors as platforms for accelerating EDA algorithms, instead of the general-purpose sing- threaded CPU. We study applications which are used in key time-consuming steps of the VLSI design ?ow. Further, these applications also have different degrees of inherent parallelism in them. We study both control-dominated EDA applications and control plus data parallel EDA applications. We accelerate these applications on these different hardware platforms. We also present an automated approach for accelerating certain uniprocessor applications on a graphics processor. This monograph compares custom ICs, FPGAs, and graphics processing units (GPUs) as potential platforms to accelerate EDA algorithms. It also provides details of the programming model used for interfacing with the GPUs.



Foundations Of Embedded Systems


Foundations Of Embedded Systems
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Author : Alexander Barkalov
language : en
Publisher: Springer
Release Date : 2019-02-04

Foundations Of Embedded Systems written by Alexander Barkalov and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-04 with Technology & Engineering categories.


This book is devoted to embedded systems (ESs), which can now be found in practically all fields of human activity. Embedded systems are essentially a special class of computing systems designed for monitoring and controlling objects of the physical world. The book begins by discussing the distinctive features of ESs, above all their cybernetic-physical character, and how they can be designed to deliver the required performance with a minimum amount of hardware. In turn, it presents a range of design methodologies. Considerable attention is paid to the hardware implementation of computational algorithms. It is shown that different parts of complex ESs could be implemented using models of finite state machines (FSMs). Also, field-programmable gate arrays (FPGAs) are very often used to implement different hardware accelerators in ESs. The book pays considerable attention to design methods for FPGA-based FSMs, before the closing section turns to programmable logic controllers widely used in industry. This book will be interesting and useful for students and postgraduates in the area of Computer Science, as well as for designers of embedded systems. In addition, it offers a good point of departure for creating embedded systems for various spheres of human activity.



Artificial Intelligence And Hardware Accelerators


Artificial Intelligence And Hardware Accelerators
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Author : Ashutosh Mishra
language : en
Publisher: Springer Nature
Release Date : 2023-03-15

Artificial Intelligence And Hardware Accelerators written by Ashutosh Mishra and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-15 with Technology & Engineering categories.


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