Description
Book SynopsisThe demands of increasingly complex embedded systems and associated performance computations have resulted in the development of heterogeneous computing architectures that often integrate several types of processors, analog and digital electronic components, and mechanical and optical componentsall on a single chip. As a result, now the most prominent challenge for the design automation community is to efficiently plan for such heterogeneity and to fully exploit its capabilities.
A compilation of work from internationally renowned authors, Model-Based Design for Embedded Systems elaborates on related practices and addresses the main facets of heterogeneous model-based design for embedded systems, including the current state of the art, important challenges, and the latest trends. Focusing on computational models as the core design artifact, this book presents the cutting-edge results that have helped establish model-based design and continue to expand its par
Table of Contents
Part I: Real-Time and Performance Analysis in Heterogeneous Embedded Systems
Performance Prediction of Distributed Platforms. SystemC-Based Performance Analysis of Embedded Systems. Formal Performance Analysis for Real-Time Heterogeneous Embedded Systems. Model-Based Framework for Schedulability Analysis Using UPPAAL 4.1. Modeling and Analysis Framework for Embedded Systems. TrueTime: Simulation Tool for Performance Analysis of Real-Time Embedded Systems.
Part II: Design Tools and Methodology for Multiprocessor System-on-Chip
MPSoC Platform Mapping Tools for Data-Dominated Applications. Retargetable, Embedded Software DesignMethodology for Multiprocessor-Embedded Systems. Programming Models for MPSoC. Platform-Based Design and Frameworks: METROPOLIS and METRO II. Reconfigurable Multicore Architectures for Streaming Applications. FPGA Platforms for Embedded Systems.
Part III: Design Tools and Methodology for Multidomain Embedded Systems
Modeling, Verification, and Testing Using Timed and Hybrid Automata. Semantics of Domain-Specific Modeling Languages. Multi-Viewpoint State Machines for Rich Component Models. Generic Methodology for the Design of Continuous/Discrete Co-Simulation Tools. Modeling and Simulation of Mixed Continuous and Discrete Systems. Design Refinement of Embedded Mixed-Signal Systems. Platform for Model-Based Design of Integrated Multi-Technology Systems. CAD Tools for Multi-Domain Systems on Chips. Smart Sensors Modeling Using VHDL-AMS for Microinstrument Implementation with a Distributed Architecture.
