Formal Methods and Models for System Design [electronic resource] : A System Level Perspective /

Formal Methods and Models for System Design [electronic resource] : A System Level Perspective /

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Perhaps nothing characterizes the inherent heterogeneity in embedded sys­ tems than the ability to choose between hardware and software implementations of a given system function. Indeed, most embedded systems at their core repre­ sent a careful division and design of hardware and software parts of the system To do this task effectively, models and methods are necessary functionality. to capture application behavior, needs and system implementation constraints. Formal modeling can be valuable in addressing these tasks. As with most engineering domains, co-design practice defines the state of the it seeks to add new capabilities in system conceptualization, mod­ art, though eling, optimization and implementation. These advances -particularly those related to synthesis and verification tasks -direct1y depend upon formal under­ standing of system behavior and performance measures. Current practice in system modeling relies upon exploiting high-level programming frameworks, such as SystemC, EstereI, to capture design at increasingly higher levels of ab­ straction and attempts to reduce the system implementation task. While raising the abstraction levels for design and verification tasks, to be really useful, these approaches must also provide for reuse, adaptation of the existing intellectual property (IP) blocks.

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Bibliographic Details
Main Authors: Gupta, Rajesh. editor., Guernic, Paul Le. editor., Shukla, Sandeep Kumar. editor., Talpin, Jean-Pierre. editor., SpringerLink (Online service)
Format: Texto biblioteca
Language:eng
Published: Boston, MA : Springer US : Imprint: Springer, 2004
Subjects:Computer science., Computers., Computer-aided engineering., Control engineering., Electrical engineering., Electronic circuits., Computer Science., Theory of Computation., Control., Circuits and Systems., Computing Methodologies., Computer-Aided Engineering (CAD, CAE) and Design., Electrical Engineering.,
Online Access:http://dx.doi.org/10.1007/978-1-4020-8052-4
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id KOHA-OAI-TEST:216623
record_format koha
institution COLPOS
collection Koha
country México
countrycode MX
component Bibliográfico
access En linea
En linea
databasecode cat-colpos
tag biblioteca
region America del Norte
libraryname Departamento de documentación y biblioteca de COLPOS
language eng
topic Computer science.
Computers.
Computer-aided engineering.
Control engineering.
Electrical engineering.
Electronic circuits.
Computer Science.
Theory of Computation.
Control.
Circuits and Systems.
Computing Methodologies.
Computer-Aided Engineering (CAD, CAE) and Design.
Electrical Engineering.
Computer science.
Computers.
Computer-aided engineering.
Control engineering.
Electrical engineering.
Electronic circuits.
Computer Science.
Theory of Computation.
Control.
Circuits and Systems.
Computing Methodologies.
Computer-Aided Engineering (CAD, CAE) and Design.
Electrical Engineering.
spellingShingle Computer science.
Computers.
Computer-aided engineering.
Control engineering.
Electrical engineering.
Electronic circuits.
Computer Science.
Theory of Computation.
Control.
Circuits and Systems.
Computing Methodologies.
Computer-Aided Engineering (CAD, CAE) and Design.
Electrical Engineering.
Computer science.
Computers.
Computer-aided engineering.
Control engineering.
Electrical engineering.
Electronic circuits.
Computer Science.
Theory of Computation.
Control.
Circuits and Systems.
Computing Methodologies.
Computer-Aided Engineering (CAD, CAE) and Design.
Electrical Engineering.
Gupta, Rajesh. editor.
Guernic, Paul Le. editor.
Shukla, Sandeep Kumar. editor.
Talpin, Jean-Pierre. editor.
SpringerLink (Online service)
Formal Methods and Models for System Design [electronic resource] : A System Level Perspective /
description Perhaps nothing characterizes the inherent heterogeneity in embedded sys­ tems than the ability to choose between hardware and software implementations of a given system function. Indeed, most embedded systems at their core repre­ sent a careful division and design of hardware and software parts of the system To do this task effectively, models and methods are necessary functionality. to capture application behavior, needs and system implementation constraints. Formal modeling can be valuable in addressing these tasks. As with most engineering domains, co-design practice defines the state of the it seeks to add new capabilities in system conceptualization, mod­ art, though eling, optimization and implementation. These advances -particularly those related to synthesis and verification tasks -direct1y depend upon formal under­ standing of system behavior and performance measures. Current practice in system modeling relies upon exploiting high-level programming frameworks, such as SystemC, EstereI, to capture design at increasingly higher levels of ab­ straction and attempts to reduce the system implementation task. While raising the abstraction levels for design and verification tasks, to be really useful, these approaches must also provide for reuse, adaptation of the existing intellectual property (IP) blocks.
format Texto
topic_facet Computer science.
Computers.
Computer-aided engineering.
Control engineering.
Electrical engineering.
Electronic circuits.
Computer Science.
Theory of Computation.
Control.
Circuits and Systems.
Computing Methodologies.
Computer-Aided Engineering (CAD, CAE) and Design.
Electrical Engineering.
author Gupta, Rajesh. editor.
Guernic, Paul Le. editor.
Shukla, Sandeep Kumar. editor.
Talpin, Jean-Pierre. editor.
SpringerLink (Online service)
author_facet Gupta, Rajesh. editor.
Guernic, Paul Le. editor.
Shukla, Sandeep Kumar. editor.
Talpin, Jean-Pierre. editor.
SpringerLink (Online service)
author_sort Gupta, Rajesh. editor.
title Formal Methods and Models for System Design [electronic resource] : A System Level Perspective /
title_short Formal Methods and Models for System Design [electronic resource] : A System Level Perspective /
title_full Formal Methods and Models for System Design [electronic resource] : A System Level Perspective /
title_fullStr Formal Methods and Models for System Design [electronic resource] : A System Level Perspective /
title_full_unstemmed Formal Methods and Models for System Design [electronic resource] : A System Level Perspective /
title_sort formal methods and models for system design [electronic resource] : a system level perspective /
publisher Boston, MA : Springer US : Imprint: Springer,
publishDate 2004
url http://dx.doi.org/10.1007/978-1-4020-8052-4
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spelling KOHA-OAI-TEST:2166232018-07-30T23:51:54ZFormal Methods and Models for System Design [electronic resource] : A System Level Perspective / Gupta, Rajesh. editor. Guernic, Paul Le. editor. Shukla, Sandeep Kumar. editor. Talpin, Jean-Pierre. editor. SpringerLink (Online service) textBoston, MA : Springer US : Imprint: Springer,2004.engPerhaps nothing characterizes the inherent heterogeneity in embedded sys­ tems than the ability to choose between hardware and software implementations of a given system function. Indeed, most embedded systems at their core repre­ sent a careful division and design of hardware and software parts of the system To do this task effectively, models and methods are necessary functionality. to capture application behavior, needs and system implementation constraints. Formal modeling can be valuable in addressing these tasks. As with most engineering domains, co-design practice defines the state of the it seeks to add new capabilities in system conceptualization, mod­ art, though eling, optimization and implementation. These advances -particularly those related to synthesis and verification tasks -direct1y depend upon formal under­ standing of system behavior and performance measures. Current practice in system modeling relies upon exploiting high-level programming frameworks, such as SystemC, EstereI, to capture design at increasingly higher levels of ab­ straction and attempts to reduce the system implementation task. While raising the abstraction levels for design and verification tasks, to be really useful, these approaches must also provide for reuse, adaptation of the existing intellectual property (IP) blocks.I Methods and Models for System Level Design -- 1 Modular Hierarchies of Models for Embedded Systems -- 2 Actor-oriented models for codesign -- 3 Structural Component Composition for System-level Models -- 4 Truly Heterogeneous modeling with SystemC -- 5 MoDe: A Method for System-Level Architecture Evaluation -- II Models and Methods for System Validation -- 6 A Verification Methodology for Concurrent Software with Synchronous Communication -- 7 High Level Verification of Control Intensive Systems -- 8 How to Compute the Refinement Relation for Parameterized Systems -- III Type Theoretic Models and Methods for System Design -- 9 Algebraic theory for behavioral type inference -- 10 Behavioral type inference for compositional system design -- IV Optimizing System Models -- 11 Optimizations for Faster Execution of Esterel Programs -- 12 Optimizing System Models for Simulation Efficiency -- 13 Capturing Formal Specification into Abstract Models -- V Post-Production Formal Methods -- 14 Engineering Changes in Field Modifiable Architectures.Perhaps nothing characterizes the inherent heterogeneity in embedded sys­ tems than the ability to choose between hardware and software implementations of a given system function. Indeed, most embedded systems at their core repre­ sent a careful division and design of hardware and software parts of the system To do this task effectively, models and methods are necessary functionality. to capture application behavior, needs and system implementation constraints. Formal modeling can be valuable in addressing these tasks. As with most engineering domains, co-design practice defines the state of the it seeks to add new capabilities in system conceptualization, mod­ art, though eling, optimization and implementation. These advances -particularly those related to synthesis and verification tasks -direct1y depend upon formal under­ standing of system behavior and performance measures. Current practice in system modeling relies upon exploiting high-level programming frameworks, such as SystemC, EstereI, to capture design at increasingly higher levels of ab­ straction and attempts to reduce the system implementation task. While raising the abstraction levels for design and verification tasks, to be really useful, these approaches must also provide for reuse, adaptation of the existing intellectual property (IP) blocks.Computer science.Computers.Computer-aided engineering.Control engineering.Electrical engineering.Electronic circuits.Computer Science.Theory of Computation.Control.Circuits and Systems.Computing Methodologies.Computer-Aided Engineering (CAD, CAE) and Design.Electrical Engineering.Springer eBookshttp://dx.doi.org/10.1007/978-1-4020-8052-4URN:ISBN:9781402080524

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