On-Chip Interconnect with aelite

On-Chip Interconnect with aelite
Author: Andreas Hansson
Publisher: Springer Science & Business Media
Total Pages: 212
Release: 2010-10-20
Genre: Technology & Engineering
ISBN: 1441968652

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The book provides a comprehensive description and implementation methodology for the Philips/NXP Aethereal/aelite Network-on-Chip (NoC). The presentation offers a systems perspective, starting from the system requirements and deriving and describing the resulting hardware architectures, embedded software, and accompanying design flow. Readers get an in depth view of the interconnect requirements, not centered only on performance and scalability, but also the multi-faceted, application-driven requirements, in particular composability and predictability. The book shows how these qualitative requirements are implemented in a state-of-the-art on-chip interconnect, and presents the realistic, quantitative costs.

Memory Controllers for Real-Time Embedded Systems

Memory Controllers for Real-Time Embedded Systems
Author: Benny Akesson
Publisher: Springer Science & Business Media
Total Pages: 235
Release: 2011-09-15
Genre: Technology & Engineering
ISBN: 1441982078

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Verification of real-time requirements in systems-on-chip becomes more complex as more applications are integrated. Predictable and composable systems can manage the increasing complexity using formal verification and simulation. This book explains the concepts of predictability and composability and shows how to apply them to the design and analysis of a memory controller, which is a key component in any real-time system.

Bio-Inspired Fault-Tolerant Algorithms for Network-on-Chip

Bio-Inspired Fault-Tolerant Algorithms for Network-on-Chip
Author: Muhammad Athar Javed Sethi
Publisher: CRC Press
Total Pages: 158
Release: 2020-03-17
Genre: Computers
ISBN: 100004811X

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Network on Chip (NoC) addresses the communication requirement of different nodes on System on Chip. The bio-inspired algorithms improve the bandwidth utilization, maximize the throughput and reduce the end-to-end latency and inter-flit arrival time. This book exclusively presents in-depth information regarding bio-inspired algorithms solving real world problems focussing on fault-tolerant algorithms inspired by the biological brain and implemented on NoC. It further documents the bio-inspired algorithms in general and more specifically, in the design of NoC. It gives an exhaustive review and analysis of the NoC architectures developed during the last decade according to various parameters. Key Features: Covers bio-inspired solutions pertaining to Network-on-Chip (NoC) design solving real world examples Includes bio-inspired NoC fault-tolerant algorithms with detail coding examples Lists fault-tolerant algorithms with detailed examples Reviews basic concepts of NoC Discusses NoC architectures developed-to-date

Multiprocessor System-on-Chip

Multiprocessor System-on-Chip
Author: Michael Hübner
Publisher: Springer Science & Business Media
Total Pages: 268
Release: 2010-11-25
Genre: Technology & Engineering
ISBN: 1441964606

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The purpose of this book is to evaluate strategies for future system design in multiprocessor system-on-chip (MPSoC) architectures. Both hardware design and integration of new development tools will be discussed. Novel trends in MPSoC design, combined with reconfigurable architectures are a main topic of concern. The main emphasis is on architectures, design-flow, tool-development, applications and system design.

Nature-Inspired Networking

Nature-Inspired Networking
Author: Phan Cong-Vinh
Publisher: CRC Press
Total Pages: 371
Release: 2018-02-13
Genre: Computers
ISBN: 1351182064

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"Nature-inspired" includes, roughly speaking, "bio-inspired"+"physical-inspired"+"social-inspired"+ and so on. This book contains highly original contributions about how nature is going to shape networking systems of the future. Hence, it focuses on rigorous approaches and cutting-edge solutions, which encompass three classes of major methods: 1) Those that take inspiration from nature for the development of novel problem solving techniques; 2) Those that are based on the use of networks to synthesize natural phenomena; and 3) Those that employ natural materials to compute or communicate.

Embedded Software Design and Programming of Multiprocessor System-on-Chip

Embedded Software Design and Programming of Multiprocessor System-on-Chip
Author: Katalin Popovici
Publisher: Springer Science & Business Media
Total Pages: 246
Release: 2010-03-03
Genre: Computers
ISBN: 1441955674

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Current multimedia and telecom applications require complex, heterogeneous multiprocessor system on chip (MPSoC) architectures with specific communication infrastructure in order to achieve the required performance. Heterogeneous MPSoC includes different types of processing units (DSP, microcontroller, ASIP) and different communication schemes (fast links, non standard memory organization and access). Programming an MPSoC requires the generation of efficient software running on MPSoC from a high level environment, by using the characteristics of the architecture. This task is known to be tedious and error prone, because it requires a combination of high level programming environments with low level software design. This book gives an overview of concepts related to embedded software design for MPSoC. It details a full software design approach, allowing systematic, high-level mapping of software applications on heterogeneous MPSoC. This approach is based on gradual refinement of hardware/software interfaces and simulation models allowing to validate the software at different abstraction levels. This book combines Simulink for high level programming and SystemC for the low level software development. This approach is illustrated with multiple examples of application software and MPSoC architectures that can be used for deep understanding of software design for MPSoC.

Networks on Chip

Networks on Chip
Author: Axel Jantsch
Publisher: Springer Science & Business Media
Total Pages: 304
Release: 2007-05-08
Genre: Computers
ISBN: 0306487276

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As the number of processor cores and IP blocks integrated on a single chip is steadily growing, a systematic approach to design the communication infrastructure becomes necessary. Different variants of packed switched on-chip networks have been proposed by several groups during the past two years. This book summarizes the state of the art of these efforts and discusses the major issues from the physical integration to architecture to operating systems and application interfaces. It also provides a guideline and vision about the direction this field is moving to. Moreover, the book outlines the consequences of adopting design platforms based on packet switched network. The consequences may in fact be far reaching because many of the topics of distributed systems, distributed real-time systems, fault tolerant systems, parallel computer architecture, parallel programming as well as traditional system-on-chip issues will appear relevant but within the constraints of a single chip VLSI implementation.

Architecture of Computing Systems – ARCS 2019

Architecture of Computing Systems – ARCS 2019
Author: Martin Schoeberl
Publisher: Springer
Total Pages: 335
Release: 2019-05-13
Genre: Computers
ISBN: 3030186563

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This book constitutes the proceedings of the 32nd International Conference on Architecture of Computing Systems, ARCS 2019, held in Copenhagen, Denmark, in May 2019. The 24 full papers presented in this volume were carefully reviewed and selected from 40 submissions. ARCS has always been a conference attracting leading-edge research outcomes in Computer Architecture and Operating Systems, including a wide spectrum of topics ranging from embedded and real-time systems all the way to large-scale and parallel systems. The selected papers are organized in the following topical sections: Dependable systems; real-time systems; special applications; architecture; memory hierarchy; FPGA; energy awareness; NoC/SoC. The chapter 'MEMPower: Data-Aware GPU Memory Power Model' is open access under a CC BY 4.0 license at link.springer.com.

Embedded System Design

Embedded System Design
Author: Peter Marwedel
Publisher: Springer Science & Business Media
Total Pages: 400
Release: 2010-11-16
Genre: Technology & Engineering
ISBN: 9400702574

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Until the late 1980s, information processing was associated with large mainframe computers and huge tape drives. During the 1990s, this trend shifted toward information processing with personal computers, or PCs. The trend toward miniaturization continues and in the future the majority of information processing systems will be small mobile computers, many of which will be embedded into larger products and interfaced to the physical environment. Hence, these kinds of systems are called embedded systems. Embedded systems together with their physical environment are called cyber-physical systems. Examples include systems such as transportation and fabrication equipment. It is expected that the total market volume of embedded systems will be significantly larger than that of traditional information processing systems such as PCs and mainframes. Embedded systems share a number of common characteristics. For example, they must be dependable, efficient, meet real-time constraints and require customized user interfaces (instead of generic keyboard and mouse interfaces). Therefore, it makes sense to consider common principles of embedded system design. Embedded System Design starts with an introduction into the area and a survey of specification models and languages for embedded and cyber-physical systems. It provides a brief overview of hardware devices used for such systems and presents the essentials of system software for embedded systems, like real-time operating systems. The book also discusses evaluation and validation techniques for embedded systems. Furthermore, the book presents an overview of techniques for mapping applications to execution platforms. Due to the importance of resource efficiency, the book also contains a selected set of optimization techniques for embedded systems, including special compilation techniques. The book closes with a brief survey on testing. Embedded System Design can be used as a text book for courses on embedded systems and as a source which provides pointers to relevant material in the area for PhD students and teachers. It assumes a basic knowledge of information processing hardware and software. Courseware related to this book is available at http://ls12-www.cs.tu-dortmund.de/~marwedel.

Machine Learning for Decision Makers

Machine Learning for Decision Makers
Author: Patanjali Kashyap
Publisher: Apress
Total Pages: 381
Release: 2018-01-04
Genre: Computers
ISBN: 1484229886

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Take a deep dive into the concepts of machine learning as they apply to contemporary business and management. You will learn how machine learning techniques are used to solve fundamental and complex problems in society and industry. Machine Learning for Decision Makers serves as an excellent resource for establishing the relationship of machine learning with IoT, big data, and cognitive and cloud computing to give you an overview of how these modern areas of computing relate to each other. This book introduces a collection of the most important concepts of machine learning and sets them in context with other vital technologies that decision makers need to know about. These concepts span the process from envisioning the problem to applying machine-learning techniques to your particular situation. This discussion also provides an insight to help deploy the results to improve decision-making. The book uses case studies and jargon busting to help you grasp the theory of machine learning quickly. You'll soon gain the big picture of machine learning and how it fits with other cutting-edge IT services. This knowledge will give you confidence in your decisions for the future of your business. What You Will Learn Discover the machine learning, big data, and cloud and cognitive computing technology stack Gain insights into machine learning concepts and practices Understand business and enterprise decision-making using machine learning Absorb machine-learning best practices Who This Book Is For Managers tasked with making key decisions who want to learn how and when machine learning and related technologies can help them.