Autonomous DVFS on Supply Islands for Energy-Constrained NoC Communication
ARCS '09 Proceedings of the 22nd International Conference on Architecture of Computing Systems
Using adaptive routing to compensate for performance heterogeneity
NOCS '09 Proceedings of the 2009 3rd ACM/IEEE International Symposium on Networks-on-Chip
System-level exploration of run-time clusterization for energy-efficient on-chip communication
Proceedings of the 2nd International Workshop on Network on Chip Architectures
Hierarchical agent monitoring design approach towards self-aware parallel systems-on-chip
ACM Transactions on Embedded Computing Systems (TECS)
PowerAntz: Ant behavior inspired power budget distribution scheme for Network-on-Chip systems
Microelectronics Journal
Dynamic voltage and frequency scaling for shared resources in multicore processor designs
Proceedings of the 50th Annual Design Automation Conference
In-network monitoring and control policy for DVFS of CMP networks-on-chip and last level caches
ACM Transactions on Design Automation of Electronic Systems (TODAES) - Special Section on Networks on Chip: Architecture, Tools, and Methodologies
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An on-chip communication network is most power efficient when it operates just below the saturation point. For any given traffic load the network can be operated in this region by adjusting frequency and voltage. For a deflective routing network we propose the design of a central controller for dynamic frequency and voltage scaling. Given history information including the load and frequency in the network, the controller adjusts the frequency and voltage such that the network operates just below the saturation point. We provide control mechanisms for continuous and discrete frequency ranges. With a discrete frequency range and taking into account voltage switching delays, we evaluate the control mechanism under stochastic, smoothly varying and very bursty traffic. Experiments demonstrate that adaptive control is very effective in minimizing power consumption at reasonable performance. Compared with a fixed high frequency network, the adaptively controlled network is significantly more power efficient. We compare it to fixed frequency networks, which are either too slow exhibiting unbounded delays, or are dimensioned for the worst case with very high frequency and are very power hungry.