Multi-objective Design Space Exploration of Multiprocessor SoC Architectures: The MULTICUBE Approach
Cristina Silvano, William Fornaciari, Eugenio Villar
Springer Science & Business Media, Aug 23, 2011 - Technology & Engineering - 209 pages
This book serves as a reference for researchers and designers in Embedded Systems who need to explore design alternatives. It provides a design space exploration methodology for the analysis of system characteristics and the selection of the most appropriate architectural solution to satisfy requirements in terms of performance, power consumption, number of required resources, etc. Coverage focuses on the design of complex multimedia applications, where the choice of the optimal design alternative in terms of application/architecture pair is too complex to be pursued through a full search comparison, especially because of the multi-objective nature of the designer’s goal, the simulation time required and the number of parameters of the multi-core architecture to be optimized concurrently.
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1 The MULTICUBE Design Flow
Performance Modeling of MultiProcessor Embedded Systems
3 Optimization Algorithms for Design Space Exploration of Embedded Systems
4 Response Surface Modeling for Design Space Exploration of Embedded Systems
5 Design Space Exploration Supporting RunTime Resource Management
6 RunTime Resource Management at the Operating System Level
Part II Application Domains
Other editions - View all
ADRES analysis application SW approach architecture automated automatic behavior Chap chapter components computing constraints core defined described Design of Experiments Design Space Exploration design-time DSE tool dynamic e-mail efficient embedded systems estimation evaluation execution exploit framework function Genetic Algorithm hardware HLSim HW platform identify IEEE implementation input integration interface kernel latency Linux M3-SCoPE many-core mapping memory methodology minimized modeFRONTIER MPEG4 encoder multi-core MULTICUBE project Multiprocessor Node obtained operating points Operating System optimisation parallel Pareto front Pareto set particle swarm optimization performance Politecnico di Milano POSIX power consumption power management power/performance powerline problem procedure processor proposed requirements run-time manager Run-time Resource Manager scheduling selected simulation solution specific Springer Science+Business Media STMicroelectronics strategy SW code system metrics system_metric SystemC target task techniques trade-off training set University of Cantabria values variables virtual platform