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Título: | SW simulation and Performance Analysis in Multi-Processing Embedded Systems |
Tipo: | Comunicaciones a congresos internacionales |
Lugar: | ARTEMIS Technology Conference, Budapest, Hungary |
Fecha: | 2010-06 |
Autores: |
Eugenio Villar
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Líneas: |
Diseño de sistemas embebidos HW/SW
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Proyectos: |
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ISBN: | |
Fichero: | ver fichero
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Resumen: | The first ARTEMIS Technology Conference was organized by the SCALOPES project.
Embedded systems know-how lies at the heart of European industry's competitiveness, and is a vital element in assuring future economic growth and stability to the benefit of European citizens at large. To address this need, the ambitious European ARTEMIS program has launched in January 2009 its first 12 R&D projects. Four of these ARTEMIS projects presented their intermediate results during the conference: SCALOPES, INDEXYS, SYSMODEL and CESAR.
The aim of the event was to provide public visibility over technical aspects raised and solved by ARTEMIS partners in the field of Embedded Computing Systems.
Current electronic systems are based on multi-processor, systems on chip, the last frontier of very-large scale integration technology. In
these systems, most of the functionality is implemented as embedded SW running on the multiprocessing platform in close interaction with the rest of the platform resources (communication infrastructure, peripherals, application-specific HW, etc.). In this context, there is a need to develop virtual prototypes able to allow the designer to verify the correctness of the design and to analyze its performance (timing, power consumption, etc.) at the different design steps. Traditional techniques like functional modeling and simulation are fast but can hardly provide accurate performance metrics. On the other hand, ISS simulation is very accurate but too slow. Native simulation and virtualization are the new SW simulation techniques able to provide fast and accurate enough solutions. In his lecture, eugenio Villar gave an overview of current SW simulation and performance analysis techniques. Improvements to the state of the art as a result of the Scalopes project were presented. |
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