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Heterogeneous computing. --- Wireless communication systems --- Automatic control. --- Communication systems, Wireless --- Wireless data communication systems --- Wireless information networks --- Wireless telecommunication systems --- Telecommunication systems --- Heterogeneous processing (Computers) --- High performance computing --- Parallel processing (Electronic computers)

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Designing technology to address the problem of heterogeneous embedded systems, while remaining compatible with standard “More Moore” flows, i.e. capable of handling simultaneously both silicon complexity and system complexity, represents one of the most important challenges facing the semiconductor industry today. While the micro-electronics industry has built its own specific design methods to focus mainly on the management of complexity through the establishment of abstraction levels, the emergence of device heterogeneity requires new approaches enabling the satisfactory design of physically heterogeneous embedded systems for the widespread deployment of such systems. This book, compiled largely from a set of contributions from participants of past editions of the Winter School on Heterogeneous Embedded Systems Design Technology (FETCH), proposes a broad and holistic overview of design techniques used to tackle the various facets of heterogeneity in terms of technology and opportunities at the physical level, signal representations and different abstraction levels, architectures and components based on hardware and software, in all the main phases of design (modeling, validation with multiple models of computation, synthesis and optimization). It concentrates on the specific issues at the interfaces, and is divided into two main parts. The first part examines mainly theoretical issues and focuses on the modeling, validation and design techniques themselves. The second part illustrates the use of these methods in various design contexts at the forefront of new technology and architectural developments.

Embedded computer systems -- Computer-aided design. --- Heterogeneous computing. --- Integrated circuits -- Computer-aided design. --- Embedded computer systems --- Heterogeneous computing --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Electrical Engineering --- Design and construction --- Integrated circuits --- Computer-aided design. --- Heterogeneous processing (Computers) --- Embedded systems (Computer systems) --- Engineering. --- Microprocessors. --- Electronic circuits. --- Circuits and Systems. --- Processor Architectures. --- High performance computing --- Parallel processing (Electronic computers) --- Computer systems --- Architecture Analysis and Design Language --- Systems engineering. --- Computer science. --- Informatics --- Science --- Engineering systems --- System engineering --- Engineering --- Industrial engineering --- System analysis --- Minicomputers --- Electron-tube circuits --- Electric circuits --- Electron tubes --- Electronics

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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

Parallel programming (Computer science) --- OpenCL (Computer program language) --- Programmation parallèle (Informatique) --- OpenCL (Langage de programmation) --- Heterogeneous computing. --- OpenCL (Computer program language). --- Parallel programming (Computer science). --- Programmation parallèle (Informatique) --- Open CL (Computer program language) --- Open Computing Language (Computer program language) --- Programming languages (Electronic computers) --- Computer programming --- Parallel processing (Electronic computers)

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This book provides an in-depth discussion on how to efficiently manage resources of heterogeneous wireless networks and how to design resource allocation algorithms to suit real world conditions. Efficiently managing resources of the networks is more crucial now, than ever before, to meet users’ rapidly increasing demand for higher data rates, better quality-of-service (QoS) and seamless coverage. Some of the techniques that can be incorporated within heterogeneous wireless networks to achieve this objective are interworking of the networks, user multi-homing and device-to-device (D2D) communication.  Designing resource allocation algorithms to suit real world conditions is also important, as the algorithms should be deployable and perform well in real networks. For example, two of the conditions considered in this book are resource allocation intervals of different networks are different and small cell base stations have limited computational capacity. To address the first condition, resource allocation algorithms for interworking systems are designed to allocate resources of different networks at different time-scales. To address the second condition, resource allocation algorithms are designed to be able to run at cloud computing servers. More of such conditions, algorithms designed to suit these conditions, modeling techniques for various networks and performance analysis of the algorithms are discussed in the book.   This book concludes with a discussion on the future research directions on the related fields of study. Advanced-level students focused on communication and networking will use this book as a study guide. Researchers and experts in the fields of networking, converged networks, small-cell networks, resource management, and interference management, as well as consultants working in network planning and optimization and managers, executives and network architects working in the networking industry will also find this book useful as a reference.

Radio resource management (Wireless communications) --- Heterogeneous distributed computing systems. --- Distributed computational systems, Heterogeneous --- Distributed computer systems, Heterogeneous --- Distributed computing systems, Heterogeneous --- Distributed heterogeneous computer systems --- Distributed heterogeneous computing systems --- HeDCSs (Heterogeneous distributed computing systems) --- Heterogeneous computer systems, Distributed --- Heterogeneous computing systems, Distributed --- Heterogeneous distributed computational systems --- Heterogeneous distributed computer systems --- Wireless communications resource management --- Engineering. --- Computer communication systems. --- Electrical engineering. --- Communications Engineering, Networks. --- Computer Communication Networks. --- Computer systems --- Electronic data processing --- Resource allocation --- Wireless communication systems --- Distributed processing --- Management --- Telecommunication. --- Electric communication --- Mass communication --- Telecom --- Telecommunication industry --- Telecommunications --- Communication --- Information theory --- Telecommuting --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Network computers --- Electric engineering --- Engineering

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To satisfy the higher requirements of digitally converged embedded systems, this book describes heterogeneous multicore technology that uses various kinds of low-power embedded processor cores on a single chip. With this technology, heterogeneous parallelism can be implemented on an SoC, and greater flexibility and superior performance per watt can then be achieved. This book defines the heterogeneous multicore architecture and explains in detail several embedded processor cores including CPU cores and special-purpose processor cores that achieve highly arithmetic-level parallelism. The authors developed three multicore chips (called RP-1, RP-2, and RP-X) according to the defined architecture with the introduced processor cores. The chip implementations, software environments, and applications running on the chips are also explained in the book. Provides readers an overview and practical discussion of heterogeneous multicore technologies from both a hardware and software point of view; Discusses a new, high-performance and energy efficient approach to designing SoCs for digitally converged, embedded systems; Covers hardware issues such as architecture and chip implementation, as well as software issues such as compilers, operating systems, and application programs; Describes three chips developed according to the defined heterogeneous multicore architecture, including chip implementations, software environments, and working applications.

Computer aided design. --- Embedded computer systems. --- Engineering. --- High performance processors. --- Parallel processing (Electronic computers). --- Systems engineering. --- Embedded computer systems --- Heterogeneous computing --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Computer Science --- Electrical Engineering --- Information technology. --- Embedded systems (Computer systems) --- IT (Information technology) --- Computer-aided engineering. --- Electronic circuits. --- Circuits and Systems. --- Computer-Aided Engineering (CAD, CAE) and Design. --- Technology --- Telematics --- Information superhighway --- Knowledge management --- Computer systems --- Architecture Analysis and Design Language --- CAD (Computer-aided design) --- Computer-assisted design --- Computer-aided engineering --- Design --- Engineering systems --- System engineering --- Engineering --- Industrial engineering --- System analysis --- Design and construction --- CAE --- Electron-tube circuits --- Electric circuits --- Electron tubes --- Electronics --- Data processing