Fpga Based Hardware Accelerator Design For Performance Improvement Of A System On A Chip Application PDF Download
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Author | : Dhaval N. Vyas |
Publisher | : |
Total Pages | : 236 |
Release | : 2005 |
Genre | : Computer algorithms |
ISBN | : |
Download FPGA-based Hardware Accelerator Design for Performance Improvement of a System-on-a-chip Application Book in PDF, ePub and Kindle
Author | : Christian De Schryver |
Publisher | : Springer |
Total Pages | : 288 |
Release | : 2015-07-30 |
Genre | : Technology & Engineering |
ISBN | : 3319154079 |
Download FPGA Based Accelerators for Financial Applications Book in PDF, ePub and Kindle
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.
Author | : Iouliia Skliarova |
Publisher | : Springer |
Total Pages | : 245 |
Release | : 2019-05-30 |
Genre | : Technology & Engineering |
ISBN | : 3030207218 |
Download FPGA-BASED Hardware Accelerators Book in PDF, ePub and Kindle
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.
Author | : |
Publisher | : Academic Press |
Total Pages | : 416 |
Release | : 2021-03-28 |
Genre | : Computers |
ISBN | : 0128231246 |
Download Hardware Accelerator Systems for Artificial Intelligence and Machine Learning Book in PDF, ePub and Kindle
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
Author | : B. Sharat Chandra Varma |
Publisher | : Springer |
Total Pages | : 133 |
Release | : 2016-03-02 |
Genre | : Technology & Engineering |
ISBN | : 9811005915 |
Download Architecture Exploration of FPGA Based Accelerators for BioInformatics Applications Book in PDF, ePub and Kindle
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.
Author | : Roger Woods |
Publisher | : John Wiley & Sons |
Total Pages | : 389 |
Release | : 2008-10-13 |
Genre | : Science |
ISBN | : 0470713771 |
Download FPGA-based Implementation of Signal Processing Systems Book in PDF, ePub and Kindle
Field programmable gate arrays (FPGAs) are an increasingly popular technology for implementing digital signal processing (DSP) systems. By allowing designers to create circuit architectures developed for the specific applications, high levels of performance can be achieved for many DSP applications providing considerable improvements over conventional microprocessor and dedicated DSP processor solutions. The book addresses the key issue in this process specifically, the methods and tools needed for the design, optimization and implementation of DSP systems in programmable FPGA hardware. It presents a review of the leading-edge techniques in this field, analyzing advanced DSP-based design flows for both signal flow graph- (SFG-) based and dataflow-based implementation, system on chip (SoC) aspects, and future trends and challenges for FPGAs. The automation of the techniques for component architectural synthesis, computational models, and the reduction of energy consumption to help improve FPGA performance, are given in detail. Written from a system level design perspective and with a DSP focus, the authors present many practical application examples of complex DSP implementation, involving: high-performance computing e.g. matrix operations such as matrix multiplication; high-speed filtering including finite impulse response (FIR) filters and wave digital filters (WDFs); adaptive filtering e.g. recursive least squares (RLS) filtering; transforms such as the fast Fourier transform (FFT). FPGA-based Implementation of Signal Processing Systems is an important reference for practising engineers and researchers working on the design and development of DSP systems for radio, telecommunication, information, audio-visual and security applications. Senior level electrical and computer engineering graduates taking courses in signal processing or digital signal processing shall also find this volume of interest.
Author | : Mounir Maaref |
Publisher | : Packt Publishing Ltd |
Total Pages | : 426 |
Release | : 2022-12-09 |
Genre | : Computers |
ISBN | : 1801819858 |
Download Architecting and Building High-Speed SoCs Book in PDF, ePub and Kindle
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.
Author | : Md Syadus Sefat |
Publisher | : |
Total Pages | : 196 |
Release | : 2018 |
Genre | : Field programmable gate arrays |
ISBN | : |
Download Design and Performance Analysis of Hardware Accelerator for Deep Neural Network in Heterogeneous Platform Book in PDF, ePub and Kindle
This thesis describes a new flexible approach to implementing energy-efficient DNN accelerator on FPGAs. Our design leverages the Coherent Accelerator Processor Interface (CAPI) which provides a cache-coherent view of system memory to attached accelerators. Computational kernels are accelerated on a CAPI-supported Kintex FPGA board. Our implementation bypasses the need for device driver code and significantly reduces the communication and I/O transfer overhead. To improve the performance of the entire application, we propose a collaborative model of execution in which the control of the data flow within the accelerator is kept independent, freeing-up CPU cores to work on other parts of the application. For further performance enhancements, we propose a technique to exploit data locality in the cache, situated in the CAPI Power Service Layer (PSL). Finally, we develop a resource-conscious implementation for more efficient utilization of resources and improved scalability. Compared with the previous work, our architecture achieves both improved performance and better power efficiency.
Author | : Rajanish K. Kamat |
Publisher | : Springer Science & Business Media |
Total Pages | : 184 |
Release | : 2009-03-05 |
Genre | : Technology & Engineering |
ISBN | : 1402093624 |
Download Unleash the System On Chip using FPGAs and Handel C Book in PDF, ePub and Kindle
With the rapid advances in technology, the conventional academic and research departments of Electronics engineering, Electrical Engineering, Computer Science, Instrumentation Engineering over the globe are forced to come together and update their curriculum with few common interdisciplinary courses in order to come out with the engineers and researchers with muli-dimensional capabilities. The gr- ing perception of the ‘Hardware becoming Soft’ and ‘Software becoming Hard’ with the emergence of the FPGAs has made its impact on both the hardware and software professionals to change their mindset of working in narrow domains. An interdisciplinary field where ‘Hardware meets the Software’ for undertaking se- ingly unfeasible tasks is System on Chip (SoC) which has become the basic pl- form of modern electronic appliances. If it wasn’t for SoCs, we wouldn’t be driving our car with foresight of the traffic congestion before hand using GPS. Without the omnipresence of the SoCs in our every walks of life, the society is wouldn’t have evidenced the rich benefits of the convergence of the technologies such as audio, video, mobile, IPTV just to name a few. The growing expectations of the consumers have placed the field of SoC design at the heart of at variance trends. On one hand there are challenges owing to design complexities with the emergence of the new processors, RTOS, software protocol stacks, buses, while the brutal forces of deep submicron effects such as crosstalk, electromigration, timing closures are challe- ing the design metrics.
Author | : Hari Angepat |
Publisher | : Springer Nature |
Total Pages | : 64 |
Release | : 2022-05-31 |
Genre | : Technology & Engineering |
ISBN | : 3031017447 |
Download FPGA-Accelerated Simulation of Computer Systems Book in PDF, ePub and Kindle
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