Enabling Predictable Hardware Acceleration In Heterogeneous Soc Fpga Computing Platforms

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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.

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.

Research Infrastructures for Hardware Accelerators

Author : Yakun Sophia Shao
Publisher : Springer Nature
ISBN 13 : 3031017501
Total Pages : 85 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Research Infrastructures for Hardware Accelerators by : Yakun Sophia Shao

Download or read book Research Infrastructures for Hardware Accelerators written by Yakun Sophia Shao and published by Springer Nature. This book was released on 2022-05-31 with total page 85 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hardware acceleration in the form of customized datapath and control circuitry tuned to specific applications has gained popularity for its promise to utilize transistors more efficiently. Historically, the computer architecture community has focused on general-purpose processors, and extensive research infrastructure has been developed to support research efforts in this domain. Envisioning future computing systems with a diverse set of general-purpose cores and accelerators, computer architects must add accelerator-related research infrastructures to their toolboxes to explore future heterogeneous systems. This book serves as a primer for the field, as an overview of the vast literature on accelerator architectures and their design flows, and as a resource guidebook for researchers working in related areas.

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.

Hardware Acceleration of EDA Algorithms

Author : Sunil P Khatri
Publisher : Springer Science & Business Media
ISBN 13 : 1441909443
Total Pages : 207 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Hardware Acceleration of EDA Algorithms by : Sunil P Khatri

Download or read book Hardware Acceleration of EDA Algorithms written by Sunil P Khatri and published by Springer Science & Business Media. This book was released on 2010-03-11 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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 and Time-Predictable Embedded Computing

Author : Pinho, Luis Miguel
Publisher : River Publishers
ISBN 13 : 8793609698
Total Pages : 236 pages
Book Rating : 4.7/5 (936 download)

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Book Synopsis High-Performance and Time-Predictable Embedded Computing by : Pinho, Luis Miguel

Download or read book High-Performance and Time-Predictable Embedded Computing written by Pinho, Luis Miguel and published by River Publishers. This book was released on 2018-07-04 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nowadays, the prevalence of computing systems in our lives is so ubiquitous that we live in a cyber-physical world dominated by computer systems, from pacemakers to cars and airplanes. These systems demand for more computational performance to process large amounts of data from multiple data sources with guaranteed processing times. Actuating outside of the required timing bounds may cause the failure of the system, being vital for systems like planes, cars, business monitoring, e-trading, etc. High-Performance and Time-Predictable Embedded Computing presents recent advances in software architecture and tools to support such complex systems, enabling the design of embedded computing devices which are able to deliver high-performance whilst guaranteeing the application required timing bounds. Technical topics discussed in the book include: Parallel embedded platformsProgramming modelsMapping and scheduling of parallel computationsTiming and schedulability analysisRuntimes and operating systems The work reflected in this book was done in the scope of the European project P‑SOCRATES, funded under the FP7 framework program of the European Commission. High-performance and time-predictable embedded computing is ideal for personnel in computer/communication/embedded industries as well as academic staff and master/research students in computer science, embedded systems, cyber-physical systems and internet-of-things.

Designing Computing Systems Based on Unconventional Technologies for Hardware Acceleration

Author : Hongyang Jia
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.4/5 (711 download)

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Book Synopsis Designing Computing Systems Based on Unconventional Technologies for Hardware Acceleration by : Hongyang Jia

Download or read book Designing Computing Systems Based on Unconventional Technologies for Hardware Acceleration written by Hongyang Jia and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hardware specialization is being widely adopted to address the energy and throughput limitations in a range of applications. However, two critical challenges are: (1) degraded programmability; and (2) bottlenecks posed by memory accessing and data movement. This thesis investigates unconventional technologies for computation, enabling unconventional accelerator architectures and associated programmability and physical-design tradeoffs, to overcome these challenges. This employs co-design at the circuit, architectural, and software levels, applied to custom integrated-circuit (IC) prototypes to validate the cross-layer implications. First, the challenge of programmability is explored through opportunities enabled by approximate computing. Accelerator programmability is enhanced by adopting the code-synthesis framework of genetic-programming (GP), which approximates computations from high level specifications (input-output pairs), by using highly structured models of computation, which, in turn, enable accelerator specialization for energy efficiency. A programmable heterogeneous platform for sensor inference is demonstrated, including: a 130nm CMOS IC, integrating a CPU, fixed-function classification accelerator, and programmable feature-extraction accelerator; and a compiler flow for code generation and approximation-aware model training.Next, the challenge of memory accessing and data movement is explored through mixed-signal in-memory computing (IMC), which amortizes accessing of raw bits into accessing of a computational result over all bits in a memory column. This fundamentally increases signal dynamic range, instating an energy/throughput-vs.-SNR tradeoff. A recent approach to high-SNR IMC is exploited to form robust abstractions of the computations, required for architectural integration and software-level interfacing. A programmable heterogeneous processor is demonstrated, including: a 65nm CMOS IC, integrating a CPU, near-memory-computing digital accelerator, and bit-scalable IMC accelerator; and associated programming model and software libraries for neural-network training and mapping. Finally, an architecture and application-mapping algorithms are explored to enable scalability of IMC platforms, especially addressing memory-system energy and latency required for virtualization of IMC hardware. An arrayed dataflow architecture is designed with integrated microarchitectural support for efficient and scalable scheduling and execution of computations for diverse neural-network models. A reconfigurable IMC platform is demonstrated, including: a 16nm CMOS IC, integrating a 4x4 array of IMC modules and scalable network-on-chip; and application-mapping algorithms and toolchain, optimizing energy-efficiency and throughput at the IMC hardware design point.

A Run-Time Hardware Task Execution Framework for FPGA-Accelerated Heterogeneous Cluster

Author : Yuk-Ming Choi
Publisher :
ISBN 13 : 9781361355527
Total Pages : pages
Book Rating : 4.3/5 (555 download)

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Book Synopsis A Run-Time Hardware Task Execution Framework for FPGA-Accelerated Heterogeneous Cluster by : Yuk-Ming Choi

Download or read book A Run-Time Hardware Task Execution Framework for FPGA-Accelerated Heterogeneous Cluster written by Yuk-Ming Choi and published by . This book was released on 2017-01-27 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation, "A Run-time Hardware Task Execution Framework for FPGA-accelerated Heterogeneous Cluster" by Yuk-ming, Choi, 蔡育明, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: The era of big data has led to problems of unprecedented scale and complexity that are challenging the computing capability of conventional computer systems. One way to address the computational and communication challenges of such demanding applications is to incorporate the use of non-conventional hardware accelerators such as FPGAs into existing systems. By providing a mix of FPGAs and conventional CPUs as computing resources in a heterogeneous cluster, a distributed computing environment can be achieved to address the need of both compute-intensive and data-intensive applications. However, utilizing heterogeneous clusters requires application developers' comprehensive knowledge on both hardware and software. In order to assist programmers to take advantage of the synergy between hardware and software easily, an easy-to-use framework for virtualizing the underlying FPGA computing resources of the heterogeneous cluster is motivated. In this work, a heterogeneous cluster consisting of both FPGAs and CPUs was built and a framework for managing multiple FPGAs across the cluster was designed. The major contribution of the framework is to provide an abstraction layer between the application developer and the underlying FPGA computing resources, so as to improve the overall design productivity. An inter-FPGA communication system was implemented such that gateware executing on FPGAs can communicate with each other autonomously to the CPU. Furthermore, to demonstrate a real-life application on the heterogeneous cluster, a generic k-means clustering application was implemented, using the MapReduce programming model. The implementation of the k-means application on multiple FPGAs was compared with a software-only version that was run on a Hadoop multi-core computer cluster. The performance results show that the FPGA version outperforms the Hadoop version across various parameters. An in-depth study on the communication bottleneck presented in the system was also carried out. A number of experiments were specifically designed to benchmark the performance of each I/O channel. The study shows that the major source of I/O bottleneck lies at the communication between the host system and the FPGA. This gives insight into programming considerations of potential applications on the cluster as well as improvement to the framework. Moreover, the benefit of multiple FPGAs was investigated through a series of experiments. Compared with putting all mappers on a single FPGA, it was found that distributing the same amount of mappers across more FPGAs can provide a tradeoff between FPGA resources and I/O performance. DOI: 10.5353/th_b5270558 Subjects: High performance computing Field programmable gate arrays

FPGA Based Accelerators for Financial Applications

Author : Christian De Schryver
Publisher : Springer
ISBN 13 : 9783319362786
Total Pages : 273 pages
Book Rating : 4.3/5 (627 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 2016-10-22 with total page 273 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.

FPGA Based Hardware Acceleration for Brain-state-in-a-box Models in Neoromorphic Computing

Author : Siva Aneesh Gadela
Publisher : ProQuest
ISBN 13 : 9780549712237
Total Pages : 306 pages
Book Rating : 4.7/5 (122 download)

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Book Synopsis FPGA Based Hardware Acceleration for Brain-state-in-a-box Models in Neoromorphic Computing by : Siva Aneesh Gadela

Download or read book FPGA Based Hardware Acceleration for Brain-state-in-a-box Models in Neoromorphic Computing written by Siva Aneesh Gadela and published by ProQuest. This book was released on 2008 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Principles of Asynchronous Circuit Design

Author : Jens Sparsø
Publisher : Springer Science & Business Media
ISBN 13 : 1475733852
Total Pages : 348 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Principles of Asynchronous Circuit Design by : Jens Sparsø

Download or read book Principles of Asynchronous Circuit Design written by Jens Sparsø and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Principles of Asynchronous Circuit Design - A Systems Perspective addresses the need for an introductory text on asynchronous circuit design. Part I is an 8-chapter tutorial which addresses the most important issues for the beginner, including how to think about asynchronous systems. Part II is a 4-chapter introduction to Balsa, a freely-available synthesis system for asynchronous circuits which will enable the reader to get hands-on experience of designing high-level asynchronous systems. Part III offers a number of examples of state-of-the-art asynchronous systems to illustrate what can be built using asynchronous techniques. The examples range from a complete commercial smart card chip to complex microprocessors. The objective in writing this book has been to enable industrial designers with a background in conventional (clocked) design to be able to understand asynchronous design sufficiently to assess what it has to offer and whether it might be advantageous in their next design task.

Robotic Computing on FPGAs

Author : Shaoshan Liu
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1636391664
Total Pages : 220 pages
Book Rating : 4.6/5 (363 download)

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Book Synopsis Robotic Computing on FPGAs by : Shaoshan Liu

Download or read book Robotic Computing on FPGAs written by Shaoshan Liu and published by Morgan & Claypool Publishers. This book was released on 2021-06-30 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a thorough overview of the state-of-the-art field-programmable gate array (FPGA)-based robotic computing accelerator designs and summarizes their adopted optimized techniques. This book consists of ten chapters, delving into the details of how FPGAs have been utilized in robotic perception, localization, planning, and multi-robot collaboration tasks. In addition to individual robotic tasks, this book provides detailed descriptions of how FPGAs have been used in robotic products, including commercial autonomous vehicles and space exploration robots.

Engineering Autonomous Vehicles and Robots

Author : Shaoshan Liu
Publisher : John Wiley & Sons
ISBN 13 : 1119570549
Total Pages : 237 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Engineering Autonomous Vehicles and Robots by : Shaoshan Liu

Download or read book Engineering Autonomous Vehicles and Robots written by Shaoshan Liu and published by John Wiley & Sons. This book was released on 2020-03-04 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: Offers a step-by-step guide to building autonomous vehicles and robots, with source code and accompanying videos The first book of its kind on the detailed steps for creating an autonomous vehicle or robot, this book provides an overview of the technology and introduction of the key elements involved in developing autonomous vehicles, and offers an excellent introduction to the basics for someone new to the topic of autonomous vehicles and the innovative, modular-based engineering approach called DragonFly. Engineering Autonomous Vehicles and Robots: The DragonFly Modular-based Approach covers everything that technical professionals need to know about: CAN bus, chassis, sonars, radars, GNSS, computer vision, localization, perception, motion planning, and more. Particularly, it covers Computer Vision for active perception and localization, as well as mapping and motion planning. The book offers several case studies on the building of an autonomous passenger pod, bus, and vending robot. It features a large amount of supplementary material, including the standard protocol and sample codes for chassis, sonar, and radar. GPSD protocol/NMEA protocol and GPS deployment methods are also provided. Most importantly, readers will learn the philosophy behind the DragonFly modular-based design approach, which empowers readers to design and build their own autonomous vehicles and robots with flexibility and affordability. Offers progressive guidance on building autonomous vehicles and robots Provides detailed steps and codes to create an autonomous machine, at affordable cost, and with a modular approach Written by one of the pioneers in the field building autonomous vehicles Includes case studies, source code, and state-of-the art research results Accompanied by a website with supplementary material, including sample code for chassis/sonar/radar; GPS deployment methods; Vision Calibration methods Engineering Autonomous Vehicles and Robots is an excellent book for students, researchers, and practitioners in the field of autonomous vehicles and robots.

High Performance Embedded Computing

Author : Luis Miguel Pinho
Publisher : CRC Press
ISBN 13 : 1000794687
Total Pages : 234 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis High Performance Embedded Computing by : Luis Miguel Pinho

Download or read book High Performance Embedded Computing written by Luis Miguel Pinho and published by CRC Press. This book was released on 2022-09-01 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nowadays, the prevalence of computing systems in our lives is so ubiquitous that we live in a cyber-physical world dominated by computer systems, from pacemakers to cars and airplanes. These systems demand for more computational performance to process large amounts of data from multiple data sources with guaranteed processing times. Actuating outside of the required timing bounds may cause the failure of the system, being vital for systems like planes, cars, business monitoring, e-trading, etc. High-Performance and Time-Predictable Embedded Computing presents recent advances in software architecture and tools to support such complex systems, enabling the design of embedded computing devices which are able to deliver high-performance whilst guaranteeing the application required timing bounds. Technical topics discussed in the book include:  Parallel embedded platforms Programming models Mapping and scheduling of parallel computations Timing and schedulability analysis Runtimes and operating systemsThe work reflected in this book was done in the scope of the European project P SOCRATES, funded under the FP7 framework program of the European Commission. High-performance and time-predictable embedded computing is ideal for personnel in computer/communication/embedded industries as well as academic staff and master/research students in computer science, embedded systems, cyber-physical systems and internet-of-things.

FPGA-based Implementation of Signal Processing Systems

Author : Roger Woods
Publisher : John Wiley & Sons
ISBN 13 : 1119077958
Total Pages : 356 pages
Book Rating : 4.1/5 (19 download)

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Book Synopsis FPGA-based Implementation of Signal Processing Systems by : Roger Woods

Download or read book FPGA-based Implementation of Signal Processing Systems written by Roger Woods and published by John Wiley & Sons. This book was released on 2017-05-01 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: An important working resource for engineers and researchers involved in the design, development, and implementation of signal processing systems The last decade has seen a rapid expansion of the use of field programmable gate arrays (FPGAs) for a wide range of applications beyond traditional digital signal processing (DSP) systems. Written by a team of experts working at the leading edge of FPGA research and development, this second edition of FPGA-based Implementation of Signal Processing Systems has been extensively updated and revised to reflect the latest iterations of FPGA theory, applications, and technology. Written from a system-level perspective, it features expert discussions of contemporary methods and tools used in the design, optimization and implementation of DSP systems using programmable FPGA hardware. And it provides a wealth of practical insights—along with illustrative case studies and timely real-world examples—of critical concern to engineers working in the design and development of DSP systems for radio, telecommunications, audio-visual, and security applications, as well as bioinformatics, Big Data applications, and more. Inside you will find up-to-date coverage of: FPGA solutions for Big Data Applications, especially as they apply to huge data sets The use of ARM processors in FPGAs and the transfer of FPGAs towards heterogeneous computing platforms The evolution of High Level Synthesis tools—including new sections on Xilinx's HLS Vivado tool flow and Altera's OpenCL approach Developments in Graphical Processing Units (GPUs), which are rapidly replacing more traditional DSP systems FPGA-based Implementation of Signal Processing Systems, 2nd Edition is an indispensable guide for engineers and researchers involved in the design and development of both traditional and cutting-edge data and signal processing systems. Senior-level electrical and computer engineering graduates studying signal processing or digital signal processing also will find this volume of great interest.

Introduction to Reconfigurable Computing

Author : Christophe Bobda
Publisher : Springer Science & Business Media
ISBN 13 : 1402061005
Total Pages : 375 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Introduction to Reconfigurable Computing by : Christophe Bobda

Download or read book Introduction to Reconfigurable Computing written by Christophe Bobda and published by Springer Science & Business Media. This book was released on 2007-09-30 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work is a comprehensive study of the field. It provides an entry point to the novice willing to move in the research field reconfigurable computing, FPGA and system on programmable chip design. The book can also be used as teaching reference for a graduate course in computer engineering, or as reference to advance electrical and computer engineers. It provides a very strong theoretical and practical background to the field, from the early Estrin’s machine to the very modern architecture such as embedded logic devices.