Route packets, not wires: on-chip inteconnection networks
Proceedings of the 38th annual Design Automation Conference
Dynamic Power Management: Design Techniques and CAD Tools
Dynamic Power Management: Design Techniques and CAD Tools
A survey of techniques for energy efficient on-chip communication
Proceedings of the 40th annual Design Automation Conference
Leakage power modeling and optimization in interconnection networks
Proceedings of the 2003 international symposium on Low power electronics and design
Peak Power Control for a QoS Capable On-Chip Network
ICPP '05 Proceedings of the 2005 International Conference on Parallel Processing
Core Network Interface Architecture and Latency Constrained On-Chip Communication
ISQED '06 Proceedings of the 7th International Symposium on Quality Electronic Design
A survey of research and practices of Network-on-chip
ACM Computing Surveys (CSUR)
NoC Hot Spot minimization Using AntNet Dynamic Routing Algorithm
ASAP '06 Proceedings of the IEEE 17th International Conference on Application-specific Systems, Architectures and Processors
A Process Scheduler-Based Approach to NoC Power Management
VLSID '07 Proceedings of the 20th International Conference on VLSI Design held jointly with 6th International Conference: Embedded Systems
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
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Advent of Network-on-Chip (NoC) based complex system designs made on-chip power management a challenging issue. Power management schemes have been proposed to tackle the problem. But they fail to provide optimal sharing when the power budget distribution varies significantly among on-chip components that are placed further apart on a chip. This paper presents PowerAntz, a distributed power management strategy for NoC based systems. This adaptive and distributed approach to power sharing across various components of a large chip is shown to be a scalable solution. Our experiments have demonstrated PowerAntz to be up to 30% more effective in distributing power budget compared to existing strategies. Further, it also achieves up to 21.25% improvement in power utilization while keeping overhead as low as zero in best case.