Approximate VCCs: a new characterization of multimedia workloads for system-level MpSoC design
Proceedings of the 42nd annual Design Automation Conference
Meeting CPU constraints by delaying playout of multimedia tasks
NOSSDAV '05 Proceedings of the international workshop on Network and operating systems support for digital audio and video
An optimal solution for the heterogeneous multiprocessor single-level voltage-setup problem
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
On buffering with stochastic guarantees in resource-constrained media players
CODES+ISSS '11 Proceedings of the seventh IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis
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Of late, there has been a considerable interest in generic and configurable System-on-Chip platforms specifically targeted towards implementing multimedia applications. A number of such platforms offer the possibility of including processor soft cores which are highly customizable. For voltage/frequency scaled processors, such customization includes the selection of appropriate voltage/frequency operating points which are tuned to the application set to be mapped onto the platform. In this context, we present an analytical framework that can guide a system designer in identifying the frequency ranges that should be supported by the different processors of a platform architecture. This framework can also be used to identify how such frequency ranges depend on the different parameters of the architecture (such as on-chip buffer sizes), and the performance impacts associated with selecting a particular frequency range. In the case of multimedia streaming applications, identifying such performance impacts and tradeoffs involved in customizing a platform architecture is especially difficult due to the bursty nature of on-chip traffic arising out of multimedia processing and the high variability in their execution requirements. The framework presented here is designed to precisely capture such characteristics and can be used in the design-space exploration of energy-aware platform architectures for multimedia processing.