Memory Controllers for Mixed-Time-Criticality Systems


Book Description

This book discusses the design and performance analysis of SDRAM controllers that cater to both real-time and best-effort applications, i.e. mixed-time-criticality memory controllers. The authors describe the state of the art, and then focus on an architecture template for reconfigurable memory controllers that addresses effectively the quickly evolving set of SDRAM standards, in terms of worst-case timing and power analysis, as well as implementation. A prototype implementation of the controller in SystemC and synthesizable VHDL for an FPGA development board are used as a proof of concept of the architecture template.




Distributed Real-Time Architecture for Mixed-Criticality Systems


Book Description

This book describes a cross-domain architecture and design tools for networked complex systems where application subsystems of different criticality coexist and interact on networked multi-core chips. The architecture leverages multi-core platforms for a hierarchical system perspective of mixed-criticality applications. This system perspective is realized by virtualization to establish security, safety and real-time performance. The impact further includes a reduction of time-to-market, decreased development, deployment and maintenance cost, and the exploitation of the economies of scale through cross-domain components and tools. Describes an end-to-end architecture for hypervisor-level, chip-level, and cluster level. Offers a solution for different types of resources including processors, on-chip communication, off-chip communication, and I/O. Provides a cross-domain approach with examples for wind-power, health-care, and avionics. Introduces hierarchical adaptation strategies for mixed-criticality systems Provides modular verification and certification methods for the seamless integration of mixed-criticality systems. Covers platform technologies, along with a methodology for the development process. Presents an experimental evaluation of technological results in cooperation with industrial partners. The information in this book will be extremely useful to industry leaders who design and manufacture products with distributed embedded systems in mixed-criticality use-cases. It will also benefit suppliers of embedded components or development tools used in this area. As an educational tool, this material can be used to teach students and working professionals in areas including embedded systems, computer networks, system architecture, dependability, real-time systems, and avionics, wind-power and health-care systems.




Heterogeneous Computing Architectures


Book Description

Heterogeneous Computing Architectures: Challenges and Vision provides an updated vision of the state-of-the-art of heterogeneous computing systems, covering all the aspects related to their design: from the architecture and programming models to hardware/software integration and orchestration to real-time and security requirements. The transitions from multicore processors, GPU computing, and Cloud computing are not separate trends, but aspects of a single trend-mainstream; computers from desktop to smartphones are being permanently transformed into heterogeneous supercomputer clusters. The reader will get an organic perspective of modern heterogeneous systems and their future evolution.




Architecture of Computing Systems -- ARCS 2016


Book Description

This book constitutes the proceedings of the 29th International Conference on Architecture of Computing Systems, ARCS 2016, held in Nuremberg, Germany, in April 2016. The 29 full papers presented in this volume were carefully reviewed and selected from 87 submissions. They were organized in topical sections named: configurable and in-memory accelerators; network-on-chip and secure computing architectures; cache architectures and protocols; mapping of applications on heterogeneous architectures and real-time tasks on multiprocessors; all about time: timing, tracing, and performance modeling; approximate and energy-efficient computing; allocation: from memories to FPGA hardware modules; organic computing systems; and reliability aspects in NoCs, caches, and GPUs.




Cyber Physical Systems. Design, Modeling, and Evaluation


Book Description

This book constitutes the proceedings of the 7th International Workshop on Design, Modeling, and Evaluation of Cyber Physical Systems, CyPhy2017, held in conjunction with ESWeek 2017, in Seoul, South Korea, in October 2017. The 10 papers presented together with 1 extended and 1 invited abstracts in this volume were carefully reviewed and selected from 16 submissions. The conference presents a wide range of domains including robotics; smart homes, vehicles, and buildings; medical implants; and future-generation sensor networks.




A Journey of Embedded and Cyber-Physical Systems


Book Description

This Open Access book celebrates Professor Peter Marwedel's outstanding achievements in compilers, embedded systems, and cyber-physical systems. The contributions in the book summarize the content of invited lectures given at the workshop “Embedded Systems” held at the Technical University Dortmund in early July 2019 in honor of Professor Marwedel's seventieth birthday. Provides a comprehensive view from leading researchers with respect to the past, present, and future of the design of embedded and cyber-physical systems; Discusses challenges and (potential) solutions from theoreticians and practitioners on modeling, design, analysis, and optimization for embedded and cyber-physical systems; Includes coverage of model verification, communication, software runtime systems, operating systems and real-time computing.




Embedded Media Processing


Book Description

What is an Embedded Media Processor (EMP)?; Memory Structures; Direct Memory Access (DMA); Memory Partitioning; Important Factors in Audio Processing; Important Factors in Video Processing; Media Processing Frameworks; Dynamic Power Management; Application Examples.




Foundation of Operating Systems


Book Description




The Future of Intelligent Transport Systems


Book Description

The Future of Intelligent Transport Systems considers ITS from three perspectives: users, business models and regulation/policy. Topics cover in-vehicle applications, such as autonomous driving, vehicle-to-vehicle/vehicle-to-infrastructure communication, and related applications, such as personalized mobility. The book also examines ITS technology enablers, such as sensing technologies, wireless communication, computational technology, user behavior as part of the transportation chain, financial models that influence ITS, regulations, policies and standards affecting ITS, and the future of ITS applications. Users will find a holistic approach to the most recent technological advances and the future spectrum of mobility. - Systematically presents the whole spectrum of next generation Intelligent Transport Systems (ITS) technologies - Integrates coverage of personalized mobility and digital assistants, big data analytics and autonomous driving - Includes end-of-chapter, open-ended questions that trigger thinking on the technological, managerial and regulatory aspects of ITS




Proceedings of International Conference on Computational Intelligence and Data Engineering


Book Description

The book presents high-quality research work on cutting-edge technologies and the most-happening areas of computational intelligence and data engineering. It includes selected papers from the International Conference on Computational Intelligence and Data Engineering (ICCIDE 2018). The conference was conceived as a forum for researchers from academia and industry to present and share ideas and results and allow them to develop a comprehensive understanding of the challenges of technological advancements from different viewpoints. As such, this book helps foster strong links between academia and industry. It covers various topics, including collective intelligence, intelligent transportation systems, fuzzy systems, Bayesian network, ant colony optimization, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language processing, swarm intelligence, and speech processing.