Efficient Hardware Acceleration On Soc Fpga Using Opencl

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Efficient Hardware Acceleration on SoC-FPGA Using OpenCL

Author : Susmitha Gogineni
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (12 download)

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Book Synopsis Efficient Hardware Acceleration on SoC-FPGA Using OpenCL by : Susmitha Gogineni

Download or read book Efficient Hardware Acceleration on SoC-FPGA Using OpenCL written by Susmitha Gogineni and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Field Programmable Gate Arrays (FPGAs) are taking over the conventional processors in the field of High Performance computing. With the advent of FPGA architectures and High level synthesis tools, FPGAs can now be easily used to accelerate computationally intensive applications like, e.g., AI and Cognitive computing. One of the advantages of raising the level of hardware design abstraction is that multiple configurations with unique properties (i.e. area, performance and power) can be automatically generated without the need to re-write the input description. This is not possible when using traditional low-level hardware description languages like VHDL or Verilog. This thesis deals with this important topic and accelerates multiple computationally intensive applications amiable to hardware acceleration and proposes a fast heuristic Design Space Exploration method to find dominant design solutions quickly. In particular, in this work, we developed different computationally intensive applications in OpenCL and mapped them onto a heterogeneous SoC-FPGA. A Genetic Algorithm (GA) based meta-heuristics that does automatic Design Space Exploration (DSE) on these applications was also developed as GA has shown in the past to lead to good results in multi-objective optimization problems like this one. The developed explorer automatically inserts a set of control knobs into the OpenCL behavioral description, e.g., to control how to synthesize loops (unroll or not), and to replicate Compute Units (CUs). By tuning the these control attributes with possible values, thousands of different micro-architecture configurations can be obtained. Thus, an exhaustive search is not feasible and other heuristics are needed. Each configuration is compiled using Altera OpenCL SDK tool and executed on Terasic DE1-SoC FPGA board platform to record the corresponding performance and logic utilization. In order to measure the quality of the proposed GA-based heuristic, each application is explored exhaustively (taking multiple days to finish for smaller designs) to find the dominant optimal solutions (Pareto Optimal Designs). For complex and larger designs, exploring the entire design space exhaustively is not feasible due to very large design space. The comparison is quantified by using metrics like Dominance, Average Distance from Reference Set (ADRS) and run time speed up, showing that our proposed heuristics lead to very good results at a fraction of the time of the exhaustive search.

Hardware Acceleration of Video Analytics on FPGA Using OpenCL

Author : Akshay Dua
Publisher :
ISBN 13 :
Total Pages : 44 pages
Book Rating : 4.:/5 (131 download)

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Book Synopsis Hardware Acceleration of Video Analytics on FPGA Using OpenCL by : Akshay Dua

Download or read book Hardware Acceleration of Video Analytics on FPGA Using OpenCL written by Akshay Dua and published by . This book was released on 2019 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the exponential growth in video content over the period of the last few years, analysis of videos is becoming more crucial for many applications such as self-driving cars, healthcare, and traffic management. Most of these video analysis application uses deep learning algorithms such as convolution neural networks (CNN) because of their high accuracy in object detection. Thus enhancing the performance of CNN models become crucial for video analysis. CNN models are computationally-expensive operations and often require high-end graphics processing units (GPUs) for acceleration. However, for real-time applications in an energy-thermal constrained environment such as traffic management, GPUs are less preferred because of their high power consumption, limited energy efficiency. They are challenging to fit in a small place. To enable real-time video analytics in emerging large scale Internet of things (IoT) applications, the computation must happen at the network edge (near the cameras) in a distributed fashion. Thus, edge computing must be adopted. Recent studies have shown that field-programmable gate arrays (FPGAs) are highly suitable for edge computing due to their architecture adaptiveness, high computational throughput for streaming processing, and high energy efficiency. This thesis presents a generic OpenCL-defined CNN accelerator architecture optimized for FPGA-based real-time video analytics on edge. The proposed CNN OpenCL kernel adopts a highly pipelined and parallelized 1-D systolic array architecture, which explores both spatial and temporal parallelism for energy efficiency CNN acceleration on FPGAs. The large fan-in and fan-out of computational units to the memory interface are identified as the limiting factor in existing designs that causes scalability issues, and solutions are proposed to resolve the issue with compiler automation. The proposed CNN kernel is highly scalable and parameterized by three architecture parameters, namely pe_num, reuse_fac, and vec_fac, which can be adapted to achieve 100% utilization of the coarse-grained computation resources (e.g., DSP blocks) for a given FPGA. The proposed CNN kernel is generic and can be used to accelerate a wide range of CNN models without recompiling the FPGA kernel hardware. The performance of Alexnet, Resnet-50, Retinanet, and Light-weight Retinanet has been measured by the proposed CNN kernel on Intel Arria 10 GX1150 FPGA. The measurement result shows that the proposed CNN kernel, when mapped with 100% utilization of computation resources, can achieve a latency of 11ms, 84ms, 1614.9ms, and 990.34ms for Alexnet, Resnet-50, Retinanet, and Light-weight Retinanet respectively when the input feature maps and weights are represented using 32-bit floating-point data type.

Design of FPGA-Based Computing Systems with OpenCL

Author : Hasitha Muthumala Waidyasooriya
Publisher : Springer
ISBN 13 : 3319681613
Total Pages : 131 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Design of FPGA-Based Computing Systems with OpenCL by : Hasitha Muthumala Waidyasooriya

Download or read book Design of FPGA-Based Computing Systems with OpenCL written by Hasitha Muthumala Waidyasooriya and published by Springer. This book was released on 2017-10-24 with total page 131 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides wide knowledge about designing FPGA-based heterogeneous computing systems, using a high-level design environment based on OpenCL (Open Computing language), which is called OpenCL for FPGA. The OpenCL-based design methodology will be the key technology to exploit the potential of FPGAs in various applications such as low-power embedded applications and high-performance computing. By understanding the OpenCL-based design methodology, readers can design an entire FPGA-based computing system more easily compared to the conventional HDL-based design, because OpenCL for FPGA takes care of computation on a host, data transfer between a host and an FPGA, computation on an FPGA with a capable of accessing external DDR memories. In the step-by-step way, readers can understand followings: how to set up the design environment how to write better codes systematically considering architectural constraints how to design practical applications

Hardware Accelerators in Data Centers

Author : Christoforos Kachris
Publisher : Springer
ISBN 13 : 3319927922
Total Pages : 280 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Hardware Accelerators in Data Centers by : Christoforos Kachris

Download or read book Hardware Accelerators in Data Centers written by Christoforos Kachris and published by Springer. This book was released on 2018-08-21 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Enabling Predictable Hardware Acceleration in Heterogeneous SoC-FPGA Computing Platforms

Author : Marco Pagani
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (122 download)

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Book Synopsis Enabling Predictable Hardware Acceleration in Heterogeneous SoC-FPGA Computing Platforms by : Marco Pagani

Download or read book Enabling Predictable Hardware Acceleration in Heterogeneous SoC-FPGA Computing Platforms written by Marco Pagani and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern computing platforms for embedded systems are evolving towards heterogeneous architectures comprising different types of processing elements and accelerators. Such an evolution is driven by the steady increasing computational demand required by modern cyber-physical systems. These systems need to acquire large amounts of data from multiple sensors and process them for performing the required control and monitoring tasks. These requirements translate into the need to execute complex computing workloads such as machine learning, encryption, and advanced signal processing algorithms, within the timing constraints imposed by the physical world. Heterogeneous systems can meet this computational demand with a high level of energy efficiency by distributing the computational workload among the different processing elements.This thesis contributes to the development of system support for real-time systems on heterogeneous platforms by presenting novel methodologies and techniques for enabling predictable hardware acceleration on SoC-FPGA platforms. The first part of this thesis presents a framework designed for supporting the development of real-time applications on SoC-FPGAs, leveraging hardware acceleration and logic resource “Virtualization” through dynamic partial reconfiguration. The proposed framework is based on a device model that matches the capabilities of modern SoC-FPGA devices, and it is centered around a custom scheduling infrastructure designed to guarantee bounded response times. This characteristic is crucial for making dynamic hardware acceleration viable for safety-critical applications. The second part of this thesis presents a full implementation of the proposed framework on Linux. Such implementation allows developing predictable applications leveraging the large number of software systems available on GNU/Linux while relying on dynamic FPGA-based hardware acceleration for performing heavy computations. Finally, the last part of this thesis introduces a reservation mechanism for the AMBA AXI bus aimed at improving the predictability of hardware accelerators by regulating BUS contention through a bandwidth reservation mechanism.

FPGA Based Accelerators for Financial Applications

Author : Christian De Schryver
Publisher : Springer
ISBN 13 : 3319154079
Total Pages : 288 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis FPGA Based Accelerators for Financial Applications by : Christian De Schryver

Download or read book FPGA Based Accelerators for Financial Applications written by Christian De Schryver and published by Springer. This book was released on 2015-07-30 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Learning Optimizations for Hardware Accelerated Designs

Author : Pingfan Meng
Publisher :
ISBN 13 :
Total Pages : 142 pages
Book Rating : 4.:/5 (951 download)

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Book Synopsis Learning Optimizations for Hardware Accelerated Designs by : Pingfan Meng

Download or read book Learning Optimizations for Hardware Accelerated Designs written by Pingfan Meng and published by . This book was released on 2016 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many emerging applications require hardware acceleration due to their growing computational intensities. These accelerated designs use heterogeneous hardware, such as GPUs, FPGAs and multi-core CPUs to process the intensive computations at a higher rate. The first part of this work provides two paradigms of hardware accelerated biomedical applications. These paradigms achieved 115X and 273X speedups respectively. Developing these paradigms taught us that, in order to efficiently utilize the heterogeneous accelerators, the designer needs to carefully investigate which device is the most suitable accelerator for a particular computing task. In addition, the designer needs to effectively optimize the computations to fully exploit the computing power of the selected accelerator. This process is called design space exploration (DSE). Heterogeneous DSE requires multiple programming skills for these different types of devices. In recent years, there is a trend to use one unified programming language for multiple heterogeneous devices. The SDKs and hardware synthesis tools have enabled OpenCL as one unified language to program heterogeneous devices including GPUs, FPGAs, and multi-core CPUs. However, one major bottleneck for DSE still exists. In contrast to GPU and CPU OpenCL code compilation, which only consumes several milliseconds, implementing OpenCL designs on a FPGA requires hours of compilation time. Moreover, merely tuning a few programming parameters in the OpenCL code will result in an abundance of possible designs. Implementing all these designs requires months of compilation time. Exploring the FPGA design space with brute force is therefore impractical. The second part of this work addresses this issue by providing a machine learning approach for automatic DSE. This machine learning approach automatically identifies the optimal designs by learning from a few training samples. In comparison with other state-of-the-art machine learning frameworks, this approach reduces the amount of hardware compilations by 3.28X, which is equivalent to hundreds of compute hours. This work also provides a data mining method that enables the machine to automatically use the estimation data to replace the time consuming end-to-end FPGA training samples for DSE. Mining these estimation data further reduces the amount of hardware compilations by 1.26X.

High-Performance Computing Using FPGAs

Author : Wim Vanderbauwhede
Publisher : Springer Science & Business Media
ISBN 13 : 1461417910
Total Pages : 798 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis High-Performance Computing Using FPGAs by : Wim Vanderbauwhede

Download or read book High-Performance Computing Using FPGAs written by Wim Vanderbauwhede and published by Springer Science & Business Media. This book was released on 2013-08-23 with total page 798 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Energy Efficient Hardware-Software Co-Synthesis Using Reconfigurable Hardware

Author : Jingzhao Ou
Publisher : CRC Press
ISBN 13 : 1584887427
Total Pages : 225 pages
Book Rating : 4.5/5 (848 download)

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Book Synopsis Energy Efficient Hardware-Software Co-Synthesis Using Reconfigurable Hardware by : Jingzhao Ou

Download or read book Energy Efficient Hardware-Software Co-Synthesis Using Reconfigurable Hardware written by Jingzhao Ou and published by CRC Press. This book was released on 2009-10-14 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rapid energy estimation for energy efficient applications using field-programmable gate arrays (FPGAs) remains a challenging research topic. Energy dissipation and efficiency have prevented the widespread use of FPGA devices in embedded systems, where energy efficiency is a key performance metric. Helping overcome these challenges, Energy Efficient

Architecting and Building High-Speed SoCs

Author : Mounir Maaref
Publisher : Packt Publishing Ltd
ISBN 13 : 1801819858
Total Pages : 426 pages
Book Rating : 4.8/5 (18 download)

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Book Synopsis Architecting and Building High-Speed SoCs by : Mounir Maaref

Download or read book Architecting and Building High-Speed SoCs written by Mounir Maaref and published by Packt Publishing Ltd. This book was released on 2022-12-09 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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-BASED Hardware Accelerators

Author : Iouliia Skliarova
Publisher : Springer
ISBN 13 : 3030207218
Total Pages : 245 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis FPGA-BASED Hardware Accelerators by : Iouliia Skliarova

Download or read book FPGA-BASED Hardware Accelerators written by Iouliia Skliarova and published by Springer. This book was released on 2019-05-30 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Automating FPGA-based Hardware Acceleration

Author : Songseok Choi
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (19 download)

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Book Synopsis Automating FPGA-based Hardware Acceleration by : Songseok Choi

Download or read book Automating FPGA-based Hardware Acceleration written by Songseok Choi and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: In the field of field programmable gate array (FPGA), High-level synthesis (HLS) has shown to be a valid contender to traditional RT-Level based VLSI design based on low-level hardware Description Languages (HDLs) such as Verilog or VHDL. HLS facilitates hardware (HW) engineers do use FPGAs using high-level language, such as C / C ++ / System, by converting these automatically into efficient HDLs. Furthermore, HLS helps to reduce the development process time. In addition, HLS opens a door to software (SW) engineers and beginner HW engineers to the use of FPGA. However, HLS is still not a magic bullet and requires substantial HW knowledge to generate optimized circuits and more important to have a final working FPGA prototype. This thesis aims at facilitating the use of FPGA to non-experts through HLS. The developed flow is built around simple templates so that SW engineers and HW engineers alike can easily make use of HLS and providing a full flow from HLS to a state-of-the-art configurable FPGAs composed of embedded processors and FPGAs, e.g., Xilinx Zynq FPGAs. The proposed flow makes the use of democratizes using the FPGAs, and shortens the design time substantially. In order to verify that the proposed flow is effective, extensive experimental results were conducted. According to the measured results, these benchmarks could be accelerated by mapping the computationally intensive kernel on the FPGA. All of this analysis and results were made to ZedBoard Zynq - 7000 ARM / FPGA SoC Development Board using Xilinx's tool.

VLSI and Hardware Implementations using Modern Machine Learning Methods

Author : Sandeep Saini
Publisher : CRC Press
ISBN 13 : 1000523810
Total Pages : 329 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis VLSI and Hardware Implementations using Modern Machine Learning Methods by : Sandeep Saini

Download or read book VLSI and Hardware Implementations using Modern Machine Learning Methods written by Sandeep Saini and published by CRC Press. This book was released on 2021-12-30 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning is a potential solution to resolve bottleneck issues in VLSI via optimizing tasks in the design process. This book aims to provide the latest machine-learning–based methods, algorithms, architectures, and frameworks designed for VLSI design. The focus is on digital, analog, and mixed-signal design techniques, device modeling, physical design, hardware implementation, testability, reconfigurable design, synthesis and verification, and related areas. Chapters include case studies as well as novel research ideas in the given field. Overall, the book provides practical implementations of VLSI design, IC design, and hardware realization using machine learning techniques. Features: Provides the details of state-of-the-art machine learning methods used in VLSI design Discusses hardware implementation and device modeling pertaining to machine learning algorithms Explores machine learning for various VLSI architectures and reconfigurable computing Illustrates the latest techniques for device size and feature optimization Highlights the latest case studies and reviews of the methods used for hardware implementation This book is aimed at researchers, professionals, and graduate students in VLSI, machine learning, electrical and electronic engineering, computer engineering, and hardware systems.

Data Processing on FPGAs

Author : Jens Teubner
Publisher : Springer Nature
ISBN 13 : 3031018494
Total Pages : 104 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Data Processing on FPGAs by : Jens Teubner

Download or read book Data Processing on FPGAs written by Jens Teubner and published by Springer Nature. This book was released on 2022-05-31 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

UT-OCL

Author : Vincent Mirian
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (133 download)

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Book Synopsis UT-OCL by : Vincent Mirian

Download or read book UT-OCL written by Vincent Mirian and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The number of heterogeneous components on a System-on-Chip (SoC) has continued to increase. Software developers leverage these heterogeneous systems by using high-level languages to enable the execution of applications. For the application to execute correctly, hardware support for features and constructs of the programming model need to be incorporated into the system. OpenCL is a standard that enables the control and execution of kernels on heterogeneous systems. The standard garnered much interest in the FPGA community when two major FPGA vendors released CAD tools with a modified design flow to support the constructs and features of the standard. Unfortunately, this environment is closed and cannot be modified by the user, making the features and constructs of the standard difficult to explore. The purpose of this work is to present UT-OCL, an open-source OpenCL framework for embedded systems on Xilinx FPGAs, and use UT-OCL to explore system architecture and device architecture features. By open-sourcing this framework, users can experiment with all aspects of OpenCL, primarily targeting FPGAs, including testing possible modifications to the standard as well as exploring the underlying computing architecture. The framework can also be used for a fair comparison between hardware accelerators (also known as devices in the OpenCL standard), since the environment and the testbenches are constant, leaving the devices as the only variable in the system. This dissertation shows that the UT-OCL framework enables the exploration of a mechanism to efficiently transfer data between the host and device memory, a fair comparison for two versions of a CRC application and shows the trade-offs between resource utilization and performance for a device using a network-on-chip paradigm. In addition, by using the framework, the dissertation explores six approaches implementing Shared Virtual Memory (SVM), a feature in the OpenCL specification that enables the host and device to share the same address space. Finally, this dissertation presents the first published implementation of a pipe that is compliant to the OpenCL specification.

Heterogeneous Computing with OpenCL 2.0

Author : David R. Kaeli
Publisher : Morgan Kaufmann
ISBN 13 : 0128016493
Total Pages : 330 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Heterogeneous Computing with OpenCL 2.0 by : David R. Kaeli

Download or read book Heterogeneous Computing with OpenCL 2.0 written by David R. Kaeli and published by Morgan Kaufmann. This book was released on 2015-06-18 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: Heterogeneous Computing with OpenCL 2.0 teaches OpenCL and parallel programming for complex systems that may include a variety of device architectures: multi-core CPUs, GPUs, and fully-integrated Accelerated Processing Units (APUs). This fully-revised edition includes the latest enhancements in OpenCL 2.0 including: • Shared virtual memory to increase programming flexibility and reduce data transfers that consume resources • Dynamic parallelism which reduces processor load and avoids bottlenecks • Improved imaging support and integration with OpenGL Designed to work on multiple platforms, OpenCL will help you more effectively program for a heterogeneous future. Written by leaders in the parallel computing and OpenCL communities, this book explores memory spaces, optimization techniques, extensions, debugging and profiling. Multiple case studies and examples illustrate high-performance algorithms, distributing work across heterogeneous systems, embedded domain-specific languages, and will give you hands-on OpenCL experience to address a range of fundamental parallel algorithms. Updated content to cover the latest developments in OpenCL 2.0, including improvements in memory handling, parallelism, and imaging support Explanations of principles and strategies to learn parallel programming with OpenCL, from understanding the abstraction models to thoroughly testing and debugging complete applications Example code covering image analytics, web plugins, particle simulations, video editing, performance optimization, and more

Towards Ubiquitous Low-power Image Processing Platforms

Author : Magnus Jahre
Publisher : Springer Nature
ISBN 13 : 3030535320
Total Pages : 264 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Towards Ubiquitous Low-power Image Processing Platforms by : Magnus Jahre

Download or read book Towards Ubiquitous Low-power Image Processing Platforms written by Magnus Jahre and published by Springer Nature. This book was released on 2020-12-15 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book summarizes the key scientific outcomes of the Horizon 2020 research project TULIPP: Towards Ubiquitous Low-power Image Processing Platforms. The main focus lies on the development of high-performance, energy-efficient embedded systems for the growing range of increasingly complex image processing applications. The holistic TULIPP approach is described in the book, which addresses hardware platforms, programming tools and embedded operating systems. Several of the results are available as open-source hardware/software for the community. The results are evaluated with several use cases taken from real-world applications in key domains such as Unmanned Aerial Vehicles (UAVs), robotics, space and medicine. Discusses the development of high-performance, energy-efficient embedded systems for the growing range of increasingly complex image processing applications; Covers the hardware architecture of embedded image processing systems, novel methods, tools and libraries for programming those systems as well as embedded operating systems to manage those systems; Demonstrates results with several challenging applications, such as medical systems, robotics, drones and automotive.