System-level performance/power analysis for platform-based design of multimedia applications

Nicholas H. Zamora, Xiaoping Hu, Radu Marculescu
<span title="2007-01-01">2007</span> <i title="Association for Computing Machinery (ACM)"> <a target="_blank" rel="noopener" href="" style="color: black;">ACM Transactions on Design Automation of Electronic Systems</a> </i> &nbsp;
The objective of this article is to introduce the use of Stochastic Automata Networks (SANs) as an effective formalism for application-architecture modeling in system-level average-case analysis for platform-based design. By platform, we mean a family of heterogeneous architectures that satisfy a set of architectural constraints imposed to allow re-use of hardware and software components. More precisely, we show how SANs can be used early in the design cycle to identify the best
more &raquo; ... r trade-offs among several application-architecture combinations. Having this information available not only helps avoid lengthy simulations for predicting power and performance figures, but also enables efficient mapping of different applications onto a chosen platform. We illustrate the benefits of our methodology by using the "Picture-in-Picture" video decoder as a driver application. ACM Reference Format: Zamora, N. H., Hu, X., and Marculescu, R. 2007. System-level performance/power analysis for platform-based design of multimedia applications.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="">doi:10.1145/1217088.1217090</a> <a target="_blank" rel="external noopener" href="">fatcat:uqa3sz5wk5b25jl3l5ozi2csia</a> </span>
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