A Genetic Programming based approach for efficiently exploring architectural communication design space of MPSoCs

Created by W.Langdon from gp-bibliography.bib Revision:1.8187

@InProceedings{Esmeraldo:2010:SPL,

• author = "Guilherme Esmeraldo and Edna Barros",
• title = "A Genetic Programming based approach for efficiently exploring architectural communication design space of {MPSoCs}",
• booktitle = "VI Southern Programmable Logic Conference (SPL 2010)",
• year = "2010",
• month = "24-26 " # mar,
• pages = "29--34",
• address = "Ipojuca, Brazil",
• abstract = "New integrated circuits technologies and the demand for more complex applications have created Multi-Processor System-on-Chip (MPSoC). MPSoC is a complex integrated circuit, which can be composed of microprocessors, buses, memories and others computational system components. As the number and variety of components of today's MPSoC is increasing, its communication architecture is becoming a limiting factor for applications performance and power consumption. Thus, techniques have been created for exploring the design space in order to find out the best communication architecture for a given application. Such techniques, however, are either inaccurate (by using static analysis based approaches) or very time consuming since each communication configuration of the design space must be simulated (by using simulation models) or estimated (using mixed approaches). This paper presents a new approach to explore the design space of bus-based communication architectures of MPSoCs using Generalised Linear Models and Genetic Programming. By using the proposed approach, some experiments show that it was possible to explore a subset of the design space and to identify the best communication configuration for a given application reducing 90percent of the exploration time with less of 3,8percent mean global error.",
• keywords = "genetic algorithms, genetic programming, MPSoC, architectural communication design space, generalised linear models, mixed approach, multiprocessor system-on-chip, simulation models, static analysis based approach, multiprocessing systems, system-on-chip",
• DOI = "doi:10.1109/SPL.2010.5483006",
• notes = "Also known as \cite{5483006}",

}

Genetic Programming entries for Guilherme Esmeraldo Edna Barros

Citations