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This book describes an approach and supporting infrastructure to facilitate debugging the silicon implementation of a System-on-Chip (SOC), allowing its associated product to be introduced into the market more quickly.  Readers learn step-by-step the key requirements for debugging a modern, silicon SOC implementation, nine factors that complicate this debugging task, and a new debug approach that addresses these requirements and complicating factors.  The authors’ novel communication-centric, scan-based, abstraction-based, run/stop-based (CSAR) debug approach is discussed in detail, showing how it helps to meet debug requirements and address the nine, previously identified factors that complicate debugging silicon implementations of SOCs. The authors also derive the debug infrastructure requirements to support debugging of a silicon implementation of an SOC with their CSAR debug approach. This debug infrastructure consists of a generic on-chip debug architecture, a configurable automated design-for-debug flow to be used during the design of an SOC, and customizable off-chip debugger software. Coverage includes an evaluation of the efficiency and effectiveness of the CSAR approach and its supporting infrastructure, using six industrial SOCs and an illustrative, example SOC model.  The authors also quantify the hardware cost and design effort to support their approach.   • Describes trends in embedded system design that make the design of SOCs complex and error-prone; • Analyzes four key requirements for debugging a modern, silicon SOC implementation and identifies nine factors that complicate meeting these debug requirements; • Uses communication control for debugging SOCs, which can be used with most on-chip SOC communication protocols in use today; • Uses communication control to (re)create a particular transaction order and demonstrates that this is helpful in the localization of errors in a SOC implementation; • Demonstrates the necessity of extracting locally- and globally-consistent states during SOC debug and guarantees by design that they are so; • Uses a fast and scalable event distribution interconnect, which connects on-chip monitors and protocol specific instruments); • Evaluates benefits and costs of the CSAR approach using six industrial SOC designs and an example SOC model.

Systems on a chip --- Debugging in computer science. --- Computer science. --- Design and construction. --- Informatics --- Science --- Computer programs --- Troubleshooting in computer science --- Data editing --- Electronic data processing --- SOC design --- Systems on chip --- Embedded computer systems --- Debugging --- Testing --- Software failures --- Systems engineering. --- Electronics. --- Circuits and Systems. --- Processor Architectures. --- Electronics and Microelectronics, Instrumentation. --- Electrical engineering --- Physical sciences --- Engineering systems --- System engineering --- Engineering --- Industrial engineering --- System analysis --- Design and construction --- Electronic circuits. --- Microprocessors. --- Microelectronics. --- Microminiature electronic equipment --- Microminiaturization (Electronics) --- Electronics --- Microtechnology --- Semiconductors --- Miniature electronic equipment --- Minicomputers --- Electron-tube circuits --- Electric circuits --- Electron tubes

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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. This book is generally intended for readers interested in Systems-on-Chips with real-time applications.   It is especially well-suited for readers looking to use SDRAM memories in systems with hard or firm real-time requirements. There is a strong focus on real-time concepts, such as predictability and composability, as well as a brief discussion about memory controller architectures for high-performance computing. Readers will learn step-by-step how to go from an unpredictable SDRAM memory, offering highly variable bandwidth and latency, to a predictable and composable shared memory, providing guaranteed bandwidth and latency to isolated applications. This journey covers concepts for making memories and arbiters behave in a predictable and composable manner, as well as architecture descriptions of hardware blocks that implement the concepts. Provides an overview of trends in embedded system design that make design of real-time SoCs difficult, error-prone, and expensive; Introduces the concept of predictability, which is required for formal verification of real-time systems; Introduces the concept of composability, which is a divide and conquer technique that enables performance verification per application, instead of monolithic verification for all applications together; Describes a novel approach to composability, which applies to any predictable shared resource, thus widely extending the scope of composable platforms. This is the first approach that can efficiently support SDRAM, which is an essential system component; Provides an overview of the SDRAM architecture at a level that is relevant for system designers, not memory designers, and explains why SDRAM architectures are difficult to use in real-time systems; Describes concepts, architectures, implementation and worst-case performance analysis of predictable SDRAM accesses, as well as predictable and composable memory arbitration, which can be applied to all memory types.

Embedded computer systems -- Design and construction. --- Microcontrollers -- Design and construction. --- Embedded computer systems --- Real-time data processing --- Programmable controllers --- Engineering & Applied Sciences --- Electrical & Computer Engineering --- Electrical Engineering --- Computer Science --- Programming --- Embedded computer systems. --- Engineering. --- Computer memory systems. --- Electronic circuits. --- Circuits and Systems. --- Memory Structures. --- Embedded systems (Computer systems) --- Computer systems --- Architecture Analysis and Design Language --- Systems engineering. --- Memory management (Computer scie. --- Engineering systems --- System engineering --- Engineering --- Industrial engineering --- System analysis --- Design and construction --- Computer memory systems --- Computers --- Electronic digital computers --- Storage devices, Computer --- Computer input-output equipment --- Memory management (Computer science) --- Electron-tube circuits --- Electric circuits --- Electron tubes --- Electronics --- Memory systems --- Storage devices

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Electrical engineering --- Programming --- Artificial intelligence. Robotics. Simulation. Graphics --- CAD (computer aided design) --- elektrische circuits

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This book describes an approach and supporting infrastructure to facilitate debugging the silicon implementation of a System-on-Chip (SOC), allowing its associated product to be introduced into the market more quickly.  Readers learn step-by-step the key requirements for debugging a modern, silicon SOC implementation, nine factors that complicate this debugging task, and a new debug approach that addresses these requirements and complicating factors.  The authors’ novel communication-centric, scan-based, abstraction-based, run/stop-based (CSAR) debug approach is discussed in detail, showing how it helps to meet debug requirements and address the nine, previously identified factors that complicate debugging silicon implementations of SOCs. The authors also derive the debug infrastructure requirements to support debugging of a silicon implementation of an SOC with their CSAR debug approach. This debug infrastructure consists of a generic on-chip debug architecture, a configurable automated design-for-debug flow to be used during the design of an SOC, and customizable off-chip debugger software. Coverage includes an evaluation of the efficiency and effectiveness of the CSAR approach and its supporting infrastructure, using six industrial SOCs and an illustrative, example SOC model.  The authors also quantify the hardware cost and design effort to support their approach.   • Describes trends in embedded system design that make the design of SOCs complex and error-prone; • Analyzes four key requirements for debugging a modern, silicon SOC implementation and identifies nine factors that complicate meeting these debug requirements; • Uses communication control for debugging SOCs, which can be used with most on-chip SOC communication protocols in use today; • Uses communication control to (re)create a particular transaction order and demonstrates that this is helpful in the localization of errors in a SOC implementation; • Demonstrates the necessity of extracting locally- and globally-consistent states during SOC debug and guarantees by design that they are so; • Uses a fast and scalable event distribution interconnect, which connects on-chip monitors and protocol specific instruments); • Evaluates benefits and costs of the CSAR approach using six industrial SOC designs and an example SOC model.

Electronics --- Electrical engineering --- Applied physical engineering --- Computer science --- Computer architecture. Operating systems --- computers --- elektronica --- ingenieurswetenschappen --- computerkunde --- architectuur (informatica) --- elektrische circuits

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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. This book is generally intended for readers interested in Systems-on-Chips with real-time applications.   It is especially well-suited for readers looking to use SDRAM memories in systems with hard or firm real-time requirements. There is a strong focus on real-time concepts, such as predictability and composability, as well as a brief discussion about memory controller architectures for high-performance computing. Readers will learn step-by-step how to go from an unpredictable SDRAM memory, offering highly variable bandwidth and latency, to a predictable and composable shared memory, providing guaranteed bandwidth and latency to isolated applications. This journey covers concepts for making memories and arbiters behave in a predictable and composable manner, as well as architecture descriptions of hardware blocks that implement the concepts. Provides an overview of trends in embedded system design that make design of real-time SoCs difficult, error-prone, and expensive; Introduces the concept of predictability, which is required for formal verification of real-time systems; Introduces the concept of composability, which is a divide and conquer technique that enables performance verification per application, instead of monolithic verification for all applications together; Describes a novel approach to composability, which applies to any predictable shared resource, thus widely extending the scope of composable platforms. This is the first approach that can efficiently support SDRAM, which is an essential system component; Provides an overview of the SDRAM architecture at a level that is relevant for system designers, not memory designers, and explains why SDRAM architectures are difficult to use in real-time systems; Describes concepts, architectures, implementation and worst-case performance analysis of predictable SDRAM accesses, as well as predictable and composable memory arbitration, which can be applied to all memory types

Molecular biology --- Electrical engineering --- embedded systems --- hersenonderzoek --- elektrische circuits --- moleculaire biologie