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Safe and efficient power management of hard real-time networks-on-chip
Affiliation:1. AGH University of Science and Technology, Academic Centre for Materials and Nanotechnology, al. A. Mickiewicza 30, 30-059 Krakow, Poland;2. AGH, University of Science and Technology, Faculty of Metals Engineering and Industrial Computer Science, al. A. Mickiewicza 30, Krakow, Poland;3. AGH University of Science and Technology, Faculty of Non-Ferrous Metals, Department of Physical Chemistry and Metallurgy of Non-Ferrous Metals, al. A. Mickiewicza 30, 30-059 Krakow, Poland;4. Institute of Physical Chemistry, Polish Academy of Sciences, ul. Kasprzaka 44/52, 01-224 Warsaw, Poland;1. University of Electronic Science and Technology of China, Chengdu, China;2. Royal Institute of Technology (KTH), Sweden;1. RWTH Aachen University, Germany;2. Silexica GmbH, Germany
Abstract:The power overhead of Networks-on-Chip (NoCs) becomes tremendous in high density Multiprocessor Systems-on-Chip (MPSoCs). Especially in hard real-time and safety-critical systems, power management mechanisms must be developed and efficiently adhered to real-time requirements. However, state-of-the-art solution typically induces a high timing overhead, thus challenging safety, or has limited power saving capabilities. Additionally, current power-gating mechanisms do not provide an upper bound of the latency overhead, and thus no timing guarantees. We propose a safe and enhanced approach for power-gating that allows a global and dynamic power management under timing guarantees, i.e., all deadlines of critical tasks are met. It introduces a control-layer to save power on the NoC data layer using multiple Power-Aware Traffic-Monitor (PATM) units, which apply knowledge of the global state of the system to efficiently save power on NoC routers even at high NoCs utilizations. To safely apply the PATMs in hard real-time systems while meeting the deadlines, we provide a formal worst-case timing analysis to derive PATMs upper bound latency overhead. Experimental results show that our approach efficiently reduces static power consumption, and provides scalability inducing very small area overhead.
Keywords:Networks-on-Chip  Hard real-time systems  Dynamic power management  Safe power-gating
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