Power Herd: Dynamic Satisfaction of Peak Power Constraints in Interconnection Networks

Li Shang, Li Shiuan Peh, Niraj K. Jha

Research output: Contribution to conferencePaperpeer-review

27 Scopus citations


Power consumption is a critical issue in interconnection network design, driven by power-related design constraints, such as thermal and power delivery design. Usually, off-line worst-case power analysis is used in network design to guarantee safe on-line operation, which not only increases system cost but also constrains network performance. In this work, we present an on-line mechanism, called PowerHerd, which can dynamically regulate network power consumption, and guarantee that network peak power constraints are not exceeded. PowerHerd is a distributed approach -within the interconnection network, each router dynamically maintains a local power budget, controls its local power dissipation, and exchanges spare power resources with its neighboring routers to optimize network performance. Experiments demonstrate that PowerHerd can effectively regulate network power consumption meeting peak power constraints with negligible network performance penalty. Armed with PowerHerd, network designers can focus on system performance and power optimization for the average case rather than the worst case, thus making it possible to employ a more powerful interconnection network in the system.

Original languageEnglish (US)
Number of pages11
StatePublished - 2003
Event2003 International Conference on Supercomputing - San Francisco, CA, United States
Duration: Jun 23 2003Jun 26 2003


Other2003 International Conference on Supercomputing
Country/TerritoryUnited States
CitySan Francisco, CA

All Science Journal Classification (ASJC) codes

  • General Computer Science


  • Interconnection networks
  • Low-power
  • Thermal management


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