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Abstract-We propose a new DVFS algorithm for enterprise systems that elevates performance as a first order control parameter and manages frequency and voltage as a function of performance requirements. We implement our algorithm on real Intel Westmere platform in Linux and demonstrate its ability to reduce the standard deviation from target performance by more than 90% over state of the art policies while reducing average power by 17%.

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This paper presents a new approach for system interconnect design exploration of application-specific multi-processor systems-on-chip (MPSoCs). As a novel contribution, we develop an analytical model for network-based communication design space exploration and generate fabric solutions with optimal cost-performance trade-offs, while considering various design constrains, such as power, area, and wirelength. For large systems, we also propose an efficient approach for obtaining competitive solutions with significant less computation time compared to the exhaustive approach. The accuracy of our analytical model is validated via SystemC simulation using several synthetic applications and an industrial SoC design.