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https://doi.org/10.1109/date.2...
Article . 2005 . Peer-reviewed
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https://doi.org/10.1109/date.2...
Article . 2003 . Peer-reviewed
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https://doi.org/10.1007/0-306-...
Part of book or chapter of book . 2005 . Peer-reviewed
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Exploring SW performance using SoC transaction-level modeling

Authors: Imed Moussa; Thierry Grellier; Giang Nguyen;

Exploring SW performance using SoC transaction-level modeling

Abstract

This paper presents VISTA, a new methodology and tool dedicated to analyse system level performance by executing full-scale SW application code on a transaction-level model of the SoC platform. The SoC provider provides a cycle-accurate functional model of the SoC architecture using the basic SystemC Transaction Level Modeling (TLM) components provided by VISTA : bus models, memories, IPs, CPUs, and RTOS generic services. These components have been carefully designed to be integrated into a SoC design flow with an implementation path for automatic generation of IP HW interfaces and SW device drivers. The application developer can then integrate the application code onto the SoC architecture as a set of SystemC modules. VISTA supports cross-compilation on the target processor and back annotation, therefore bypassing the use of an ISS. We illustrate the features of VISTA through the design and simulation of an MPEG video decoder application.

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Top 10%
Top 10%
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