Data Processing On Fpgas

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Data Processing On Fpgas

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Author : Jens Teubner
language : en
Publisher: Springer Nature
Release Date : 2022-05-31

Data Processing On Fpgas written by Jens Teubner and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Computers categories.

Roughly a decade ago, power consumption and heat dissipation concerns forced the semiconductor industry to radically change its course, shifting from sequential to parallel computing. Unfortunately, improving performance of applications has now become much more difficult than in the good old days of frequency scaling. This is also affecting databases and data processing applications in general, and has led to the popularity of so-called data appliances—specialized data processing engines, where software and hardware are sold together in a closed box. Field-programmable gate arrays (FPGAs) increasingly play an important role in such systems. FPGAs are attractive because the performance gains of specialized hardware can be significant, while power consumption is much less than that of commodity processors. On the other hand, FPGAs are way more flexible than hard-wired circuits (ASICs) and can be integrated into complex systems in many different ways, e.g., directly in the network for a high-frequency trading application. This book gives an introduction to FPGA technology targeted at a database audience. In the first few chapters, we explain in detail the inner workings of FPGAs. Then we discuss techniques and design patterns that help mapping algorithms to FPGA hardware so that the inherent parallelism of these devices can be leveraged in an optimal way. Finally, the book will illustrate a number of concrete examples that exploit different advantages of FPGAs for data processing. Table of Contents: Preface / Introduction / A Primer in Hardware Design / FPGAs / FPGA Programming Models / Data Stream Processing / Accelerated DB Operators / Secure Data Processing / Conclusions / Bibliography / Authors' Biographies / Index

High Performance Computing Using Fpgas

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Author : Wim Vanderbauwhede
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-08-23

High Performance Computing Using Fpgas written by Wim Vanderbauwhede 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 2013-08-23 with Technology & Engineering categories.

High-Performance Computing using FPGA covers the area of high performance reconfigurable computing (HPRC). This book provides an overview of architectures, tools and applications for High-Performance Reconfigurable Computing (HPRC). FPGAs offer very high I/O bandwidth and fine-grained, custom and flexible parallelism and with the ever-increasing computational needs coupled with the frequency/power wall, the increasing maturity and capabilities of FPGAs, and the advent of multicore processors which has caused the acceptance of parallel computational models. The Part on architectures will introduce different FPGA-based HPC platforms: attached co-processor HPRC architectures such as the CHREC’s Novo-G and EPCC’s Maxwell systems; tightly coupled HRPC architectures, e.g. the Convey hybrid-core computer; reconfigurably networked HPRC architectures, e.g. the QPACE system, and standalone HPRC architectures such as EPFL’s CONFETTI system. The Part on Tools will focus on high-level programming approaches for HPRC, with chapters on C-to-Gate tools (such as Impulse-C, AutoESL, Handel-C, MORA-C++); Graphical tools (MATLAB-Simulink, NI LabVIEW); Domain-specific languages, languages for heterogeneous computing(for example OpenCL, Microsoft’s Kiwi and Alchemy projects). The part on Applications will present case from several application domains where HPRC has been used successfully, such as Bioinformatics and Computational Biology; Financial Computing; Stencil computations; Information retrieval; Lattice QCD; Astrophysics simulations; Weather and climate modeling.

Fast And Energy Efficient Big Data Processing On Fpgas

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Author : Sahand Salamat
language : en
Publisher:
Release Date : 2021

Fast And Energy Efficient Big Data Processing On Fpgas written by Sahand Salamat and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.

With the rapid development of the Internet of things (IoT), networks, software, and computing platforms, the size of the generated data is dramatically increasing, bringing the dawn of the big data era. These ever-increasing data volumes and complexity require new algorithms and hardware platforms to deliver sufficient performance. Data from sensors, such as images, video, and text, contributed to 2.5 quintillions bytes generated every day in 2020. The rate of generating data is outpacing the computational capabilities of conventional computing platforms and algorithms. CPU performance improvement has been stagnating in recent years, which is one of the causes of the rise of application-specific accelerators that process big data applications. FPGAs are also more commonly used for accelerating big data algorithms, such as machine learning. In this work, we develop and optimize both the hardware implementation and also algorithms for FPGA-based accelerators to increase the performance of machine learning applications. We leverage Residue Number System (RNS) to optimize the deep neural networks (DNNs) execution and develop an FPGA-based accelerator, called Residue-Net, to entirely execute DNNs using RNS on FPGAs. Residue-Net improves the DNNs throughput by 2.8x compared to running the FPGA-based baseline. Even though running DNNs on FPGAs provides higher performance compared to running on general-purpose processors, due to their intrinsic computation complexity, it is challenging to deliver high performance and low energy consumption using FPGAs, especially for the edge devices. Less complex and more hardware-friendly machine learning algorithms are needed in order to revolutionize the performance at and beyond the edge. Hyperdimensional computing (HD) is a great example of a very efficient paradigm for machine learning. HD is intrinsically parallelizable with significantly fewer operations than DNNs, and thus can easily be accelerated in hardware. We develop an automated tool to generate an FPGA-based accelerator, called HD2FPGA, for classification and clustering applications, with accuracy that is comparable to the state-of-the-art machine learning algorithms, but orders of magnitude higher efficiency. HD2FPGA achieves 578x speedup and 1500x energy reduction in end-to-end execution of HD classification compared to the CPU baseline. HD2FPGA, compared to state-of-the-art DNN running on an FPGA, delivers 277x speedup and 172x energy reduction. As the volume of data increases, a single FPGA is not enough to get the desired performance. Thus, many cloud service providers offer multi-FPGA platforms. The size of the data centers workloads varies dramatically over time, leading to significant underutilization of computing resources such as FPGAs while consuming a large amount of power, which is a critical contributor to data center inefficiency. We propose an efficient framework to throttle the power consumption of multi-FPGA platforms by dynamically scaling the voltage and hereby frequency at run time according to the prediction of, and adjustment to the workload level while maintaining the desired Quality of Service (QoS). Our evaluations by implementing state-of-the-art deep neural network accelerators revealed that providing an average power reduction of 4.0x, the proposed framework surpasses the previous works by 33.6% (up to 83%).

Fpgas For Software Programmers

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Author : Dirk Koch
language : en
Publisher: Springer
Release Date : 2016-06-17

Fpgas For Software Programmers written by Dirk Koch and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-17 with Technology & Engineering categories.

This book makes powerful Field Programmable Gate Array (FPGA) and reconfigurable technology accessible to software engineers by covering different state-of-the-art high-level synthesis approaches (e.g., OpenCL and several C-to-gates compilers). It introduces FPGA technology, its programming model, and how various applications can be implemented on FPGAs without going through low-level hardware design phases. Readers will get a realistic sense for problems that are suited for FPGAs and how to implement them from a software designer’s point of view. The authors demonstrate that FPGAs and their programming model reflect the needs of stream processing problems much better than traditional CPU or GPU architectures, making them well-suited for a wide variety of systems, from embedded systems performing sensor processing to large setups for Big Data number crunching. This book serves as an invaluable tool for software designers and FPGA design engineers who are interested in high design productivity through behavioural synthesis, domain-specific compilation, and FPGA overlays. Introduces FPGA technology to software developers by giving an overview of FPGA programming models and design tools, as well as various application examples; Provides a holistic analysis of the topic and enables developers to tackle the architectural needs for Big Data processing with FPGAs; Explains the reasons for the energy efficiency and performance benefits of FPGA processing; Provides a user-oriented approach and a sense for where and how to apply FPGA technology.

Ieee Symposium On Fpgas For Custom Computing Machines

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Author : Peter Athanas
language : en
Publisher: Institute of Electrical & Electronics Engineers(IEEE)
Release Date : 1995

Ieee Symposium On Fpgas For Custom Computing Machines written by Peter Athanas and has been published by Institute of Electrical & Electronics Engineers(IEEE) this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Computers categories.

In Network Data Processing Using Fpgas

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Author : David Sidler
language : en
Publisher:
Release Date : 2019

In Network Data Processing Using Fpgas written by David Sidler and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.

Digital Signal Processing Applications

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Author :
language : en
Publisher:
Release Date : 1997

Digital Signal Processing Applications written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Integrated circuits categories.

Handbook Of Computer Vision And Applications Systems And Applications

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Author : Bernd Jähne
language : en
Publisher:
Release Date : 1999

Handbook Of Computer Vision And Applications Systems And Applications written by Bernd Jähne and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Computers categories.

CD-ROM files contain complete text of all three print vols., as well as hyperlinks to figures, tables, etc. and between the index and the text. Also included are hyperlinks to movies, interactive 3-D models, demonstration software and other materials not contained in the print version.

Ieee Symposium On Fpgas For Custom Computing Machines

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Author : Kenneth L. Pocek
language : en
Publisher: Institute of Electrical & Electronics Engineers(IEEE)
Release Date : 1996

Ieee Symposium On Fpgas For Custom Computing Machines written by Kenneth L. Pocek and has been published by Institute of Electrical & Electronics Engineers(IEEE) this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Computers categories.

Contains papers from the April 1996 symposium, reporting on research in device architectures, applications, compilers and related software support. Topics include using MORRPH in an industrial machine vision system, a software development system for FPGA-based data acquisition systems, a reconfigura

Fpga

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Author :
language : en
Publisher:
Release Date : 2006

Fpga written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Field programmable gate arrays categories.