Fpga Based Hardware Accelerators

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FPGA-BASED Hardware Accelerators

Author : Iouliia Skliarova,Valery Sklyarov
Publisher : Springer
Page : 245 pages
File Size : 48,9 Mb
Release : 2019-05-30
Category : Technology & Engineering
ISBN : 9783030207212

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FPGA-BASED Hardware Accelerators by Iouliia Skliarova,Valery Sklyarov Pdf

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

Author : Christian De Schryver
Publisher : Springer
Page : 273 pages
File Size : 53,5 Mb
Release : 2015-07-30
Category : Technology & Engineering
ISBN : 9783319154077

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FPGA Based Accelerators for Financial Applications by Christian De Schryver Pdf

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

Author : B. Sharat Chandra Varma,Kolin Paul,M. Balakrishnan
Publisher : Springer
Page : 122 pages
File Size : 42,8 Mb
Release : 2016-03-02
Category : Technology & Engineering
ISBN : 9789811005916

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Architecture Exploration of FPGA Based Accelerators for BioInformatics Applications by B. Sharat Chandra Varma,Kolin Paul,M. Balakrishnan Pdf

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

Author : Christoforos Kachris,Babak Falsafi,Dimitrios Soudris
Publisher : Springer
Page : 279 pages
File Size : 42,7 Mb
Release : 2018-08-21
Category : Technology & Engineering
ISBN : 9783319927923

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Hardware Accelerators in Data Centers by Christoforos Kachris,Babak Falsafi,Dimitrios Soudris Pdf

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

Author : Anonim
Publisher : Academic Press
Page : 416 pages
File Size : 55,7 Mb
Release : 2021-03-28
Category : Computers
ISBN : 9780128231241

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Hardware Accelerator Systems for Artificial Intelligence and Machine Learning by Anonim Pdf

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

Synthesis and Optimization of FPGA-Based Systems

Author : Valery Sklyarov,Iouliia Skliarova,Alexander Barkalov,Larysa Titarenko
Publisher : Springer Science & Business Media
Page : 443 pages
File Size : 43,5 Mb
Release : 2014-03-14
Category : Technology & Engineering
ISBN : 9783319047089

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Synthesis and Optimization of FPGA-Based Systems by Valery Sklyarov,Iouliia Skliarova,Alexander Barkalov,Larysa Titarenko Pdf

The book is composed of two parts. The first part introduces the concepts of the design of digital systems using contemporary field-programmable gate arrays (FPGAs). Various design techniques are discussed and illustrated by examples. The operation and effectiveness of these techniques is demonstrated through experiments that use relatively cheap prototyping boards that are widely available. The book begins with easily understandable introductory sections, continues with commonly used digital circuits, and then gradually extends to more advanced topics. The advanced topics include novel techniques where parallelism is applied extensively. These techniques involve not only core reconfigurable logical elements, but also use embedded blocks such as memories and digital signal processing slices and interactions with general-purpose and application-specific computing systems. Fully synthesizable specifications are provided in a hardware-description language (VHDL) and are ready to be tested and incorporated in engineering designs. A number of practical applications are discussed from areas such as data processing and vector-based computations (e.g. Hamming weight counters/comparators). The second part of the book covers the more theoretical aspects of finite state machine synthesis with the main objective of reducing basic FPGA resources, minimizing delays and achieving greater optimization of circuits and systems.

The Definitive Guide to the Xen Hypervisor

Author : David Chisnall
Publisher : Pearson Education
Page : 320 pages
File Size : 48,6 Mb
Release : 2007-11-09
Category : Computers
ISBN : 9780132703024

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The Definitive Guide to the Xen Hypervisor by David Chisnall Pdf

“The Xen hypervisor has become an incredibly strategic resource for the industry, as the focal point of innovation in cross-platform virtualization technology. David’s book will play a key role in helping the Xen community and ecosystem to grow.” –Simon Crosby, CTO, XenSource An Under-the-Hood Guide to the Power of Xen Hypervisor Internals The Definitive Guide to the Xen Hypervisor is a comprehensive handbook on the inner workings of XenSource’s powerful open source paravirtualization solution. From architecture to kernel internals, author David Chisnall exposes key code components and shows you how the technology works, providing the essential information you need to fully harness and exploit the Xen hypervisor to develop cost-effective, highperformance Linux and Windows virtual environments. Granted exclusive access to the XenSource team, Chisnall lays down a solid framework with overviews of virtualization and the design philosophy behind the Xen hypervisor. Next, Chisnall takes you on an in-depth exploration of the hypervisor’s architecture, interfaces, device support, management tools, and internals—including key information for developers who want to optimize applications for virtual environments. He reveals the power and pitfalls of Xen in real-world examples and includes hands-on exercises, so you gain valuable experience as you learn. This insightful resource gives you a detailed picture of how all the pieces of the Xen hypervisor fit and work together, setting you on the path to building and implementing a streamlined, cost-efficient virtual enterprise. Coverage includes · Understanding the Xen virtual architecture · Using shared info pages, grant tables, and the memory management subsystem · Interpreting Xen’s abstract device interfaces · Configuring and managing device support, including event channels, monitoring with XenStore, supporting core devices, and adding new device types · Navigating the inner workings of the Xen API and userspace tools · Coordinating virtual machines with the Scheduler Interface and API, and adding a new scheduler · Securing near-native speed on guest machines using HVM · Planning for future needs, including porting, power management, new devices, and unusual architectures

Architecting and Building High-Speed SoCs

Author : Mounir Maaref
Publisher : Packt Publishing Ltd
Page : 426 pages
File Size : 45,5 Mb
Release : 2022-12-09
Category : Computers
ISBN : 9781801819855

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Architecting and Building High-Speed SoCs by Mounir Maaref Pdf

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.

Design for Embedded Image Processing on FPGAs

Author : Donald G. Bailey
Publisher : John Wiley & Sons
Page : 503 pages
File Size : 51,7 Mb
Release : 2011-06-13
Category : Technology & Engineering
ISBN : 9780470828526

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Design for Embedded Image Processing on FPGAs by Donald G. Bailey Pdf

Dr Donald Bailey starts with introductory material considering the problem of embedded image processing, and how some of the issues may be solved using parallel hardware solutions. Field programmable gate arrays (FPGAs) are introduced as a technology that provides flexible, fine-grained hardware that can readily exploit parallelism within many image processing algorithms. A brief review of FPGA programming languages provides the link between a software mindset normally associated with image processing algorithms, and the hardware mindset required for efficient utilization of a parallel hardware design. The design process for implementing an image processing algorithm on an FPGA is compared with that for a conventional software implementation, with the key differences highlighted. Particular attention is given to the techniques for mapping an algorithm onto an FPGA implementation, considering timing, memory bandwidth and resource constraints, and efficient hardware computational techniques. Extensive coverage is given of a range of low and intermediate level image processing operations, discussing efficient implementations and how these may vary according to the application. The techniques are illustrated with several example applications or case studies from projects or applications he has been involved with. Issues such as interfacing between the FPGA and peripheral devices are covered briefly, as is designing the system in such a way that it can be more readily debugged and tuned. Provides a bridge between algorithms and hardware Demonstrates how to avoid many of the potential pitfalls Offers practical recommendations and solutions Illustrates several real-world applications and case studies Allows those with software backgrounds to understand efficient hardware implementation Design for Embedded Image Processing on FPGAs is ideal for researchers and engineers in the vision or image processing industry, who are looking at smart sensors, machine vision, and robotic vision, as well as FPGA developers and application engineers. The book can also be used by graduate students studying imaging systems, computer engineering, digital design, circuit design, or computer science. It can also be used as supplementary text for courses in advanced digital design, algorithm and hardware implementation, and digital signal processing and applications. Companion website for the book: www.wiley.com/go/bailey/fpga

FPGA-Accelerated Simulation of Computer Systems

Author : Hari Angepat,Derek Chiou,Eric S. Chung,James C. Hoe
Publisher : Morgan & Claypool Publishers
Page : 82 pages
File Size : 42,6 Mb
Release : 2014-07-01
Category : Computers
ISBN : 9781627052146

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FPGA-Accelerated Simulation of Computer Systems by Hari Angepat,Derek Chiou,Eric S. Chung,James C. Hoe Pdf

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

Author : Sunil P Khatri,Kanupriya Gulati
Publisher : Springer Science & Business Media
Page : 207 pages
File Size : 50,8 Mb
Release : 2010-03-11
Category : Technology & Engineering
ISBN : 9781441909442

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Hardware Acceleration of EDA Algorithms by Sunil P Khatri,Kanupriya Gulati Pdf

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.

Fpga-Accelerated Analytics

Author : Zsolt István,Kaan Kara,David Sidler
Publisher : Unknown
Page : 120 pages
File Size : 40,8 Mb
Release : 2020-09-28
Category : Electronic
ISBN : 1680837346

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Fpga-Accelerated Analytics by Zsolt István,Kaan Kara,David Sidler Pdf

Datacenters hosting the data-intensive applications used in machine learning and online services are facing an important challenge: the amount of data that needs to be stored and processed is increasing at an exponential rate whereas traditional processor performance has been stagnating for years as Moore's Law tapers off. Driven by these trends, data processing and management applications have become increasingly distributed leading to new data movement bottlenecks at various levels of the software and hardware architecture. The authors show how specialized hardware accelerators can provide an answer to the compute stagnation problem and be helpful in reducing data movement bottlenecks by placing them in the right location within the computer architecture. They concentrate on Field Programmable Gate Arrays (FPGAs) and show how they make it possible to express algorithms in ways that are fundamentally different from CPUs or GPUs. Many major companies are using these accelerator techniques in their storage and processing offerings. The authors discuss the benefits of using FPGAs in the context of analytical processing, both as an accelerator within a single node database and as part of distributed data analytics pipelines. They present guidelines for accelerator design in both scenarios and examples of integration within full-fledged Relational Databases. They do so through the prism of recent research projects that explore how emerging compute-intensive operations in databases can benefit from FPGAs. Finally, they highlight future research challenges in programmability and integration and cover architectural trends that are propelling the rapid adoption of accelerators in datacenters and the cloud. The monograph provides researchers and practitioners a concise insight into how FPGAs can play an important role in designing modern data-intensive computing systems. Drawing on both theory and practical implementations the readers are brought quickly up to speed on a technique that will significantly improve a system's performance.

Artificial Intelligence and Hardware Accelerators

Author : Ashutosh Mishra,Jaekwang Cha,Hyunbin Park,Shiho Kim
Publisher : Springer Nature
Page : 358 pages
File Size : 47,6 Mb
Release : 2023-03-15
Category : Technology & Engineering
ISBN : 9783031221705

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Artificial Intelligence and Hardware Accelerators by Ashutosh Mishra,Jaekwang Cha,Hyunbin Park,Shiho Kim Pdf

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

Approximate Arithmetic Circuit Architectures for FPGA-based Systems

Author : Salim Ullah,Akash Kumar
Publisher : Springer Nature
Page : 190 pages
File Size : 53,7 Mb
Release : 2023-02-27
Category : Technology & Engineering
ISBN : 9783031212949

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Approximate Arithmetic Circuit Architectures for FPGA-based Systems by Salim Ullah,Akash Kumar Pdf

This book presents various novel architectures for FPGA-optimized accurate and approximate operators, their detailed accuracy and performance analysis, various techniques to model the behavior of approximate operators, and thorough application-level analysis to evaluate the impact of approximations on the final output quality and performance metrics. As multiplication is one of the most commonly used and computationally expensive operations in various error-resilient applications such as digital signal and image processing and machine learning algorithms, this book particularly focuses on this operation. The book starts by elaborating on the various sources of error resilience and opportunities available for approximations on various layers of the computation stack. It then provides a detailed description of the state-of-the-art approximate computing-related works and highlights their limitations.

Foundations of Embedded Systems

Author : Alexander Barkalov,Larysa Titarenko,Małgorzata Mazurkiewicz
Publisher : Springer
Page : 167 pages
File Size : 45,6 Mb
Release : 2019-02-04
Category : Technology & Engineering
ISBN : 9783030119614

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Foundations of Embedded Systems by Alexander Barkalov,Larysa Titarenko,Małgorzata Mazurkiewicz Pdf

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.