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|Title:||System-level modeling and analysis of multimedia-soc platforms||Authors:||LIU YANHONG||Keywords:||embedded systems, multimedia systems, system-on-chip, modeling, performance analysis, system-level design||Issue Date:||4-Jun-2007||Citation:||LIU YANHONG (2007-06-04). System-level modeling and analysis of multimedia-soc platforms. ScholarBank@NUS Repository.||Abstract:||Currently there is a considerable interest in designing general-purpose configurable Systemon-Chip (SoC) platforms specifically targeted towards implementing multimedia applications. Determining the optimal configuration for such platforms is especially difficult due to the various kinds of variabilities arising out of multimedia processing, such as the high variability in the execution requirements of multimedia streams and the burstiness in the on-chip traffic. System-level design and analysis methods are then desired for such platforms, which take into account such variabilities. In this thesis we propose an analytical framework that can be used in the design space exploration and performance analysis of multimedia SoC platforms. Our work includes the following contributions. Firstly, we adopt the concept of variability characterization curves to characterize the worst-case behaviours of multimedia workloads. An analytical scheme is also presented to obtain such characterization curves for a large library of potential inputs to the system. Secondly, to illustrate the utility of our framework, we present analytical approaches for two typical system design cases. In the first case, we address the problem of identifying the frequency ranges that should be supported by different processors of a platform in order to run a target multimedia workload. In the other case, we determine tight bounds on the arrival rates of different multimedia streams at a platform such that predefined quality-of-service (QoS) constraints are met. Finally, we propose the concept of approximate variability characterization curves to characterize the average-case behaviours of multimedia workloads. a??Average-casea?? analysis using this concept can be used to derive tradeoffs between resource savings and QoS constraints. In this thesis we present error analysis algorithms to bound the extent to which such QoS constraints can be satisfied. Our proposed framework can be used to precisely model multimedia workloads and estimate various performance parameters for multimedia SoC platforms in a seamless manner. Compared to purely simulation-oriented approaches, our framework provides provable performance guarantees and involves analysis times which are significantly shorter.||URI:||http://scholarbank.nus.edu.sg/handle/10635/16485|
|Appears in Collections:||Ph.D Theses (Open)|
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