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Munich, Germany
Mar. 13, 2001 to Mar. 16, 2001
ISBN: 0-7695-0993-2
pp: 0572
Radu Marculescu , Carnegie Mellon University
Amit Nandi , Carnegie Mellon University
Abstract: The objective of this paper is to introduce the Stochastic Automata Networks (SANs) as an effective formalism for application modeling in system-level analysis. More precisely, we present a methodology for application modeling for system-level power/performance analysis that can help the designer to select the right platform and implement a set of target multimedia applications. We also show that, under various input traces, the steady-state behavior of the application itself is characterized by very different 'clusterings' of the probability distributions. Having this information available, not only helps to avoid lengthy profiling simulations for predicting power and performance figures, but also enables efficient mappings of the applications onto a chosen platform. We illustrate the benefits of our methodology using the MPEG-2 video decoder as the driver application.
system-level design, performance analysis, application modeling, stochastic automata networks, embedded multimedia systems.
Radu Marculescu, Amit Nandi, "Probabilistic Application Modeling for System-Level Performance Analysis", DATE, 2001, Design, Automation & Test in Europe Conference & Exhibition, Design, Automation & Test in Europe Conference & Exhibition 2001, pp. 0572, doi:10.1109/DATE.2001.915081
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