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首页> 外文期刊>IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems >PowerHerd: a distributed scheme for dynamically satisfying peak-power constraints in interconnection networks
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PowerHerd: a distributed scheme for dynamically satisfying peak-power constraints in interconnection networks

机译：PowerHerd：一种分布式方案，用于动态满足互连网络中的峰值功率约束

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摘要

As interconnection networks proliferate to a wide range of high-performance systems, power consumption is becoming a significant architectural issue. In interconnection networks, the peak-power consumption directly affects the solution for package cooling and power-delivery design. Off-line worst-case power analysis is typically used to estimate the network peak-power consumption and guarantee safe online operation, which not only increases system cost, but also constrains network performance. In this paper, we present an online mechanism, called PowerHerd, to efficiently manage network power resources at runtime, 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.
机译：随着互连网络扩展到各种高性能系统，功耗已成为一个重要的体系结构问题。在互连网络中，峰值功耗直接影响封装冷却和功率分配设计的解决方案。离线最坏情况功率分析通常用于估计网络峰值功率消耗并确保安全的在线运行，这不仅增加了系统成本，而且限制了网络性能。在本文中，我们提出了一种称为PowerHerd的在线机制，该机制可以在运行时有效地管理网络电源，并确保不超过网络峰值功率约束。 PowerHerd是一种分布式方法-在互连网络中，每个路由器动态维护本地电源预算，控制其本地功耗，并与相邻路由器交换备用电源以优化网络性能。实验表明，PowerHerd可以有效地调节网络功耗，以可忽略的网络性能损失满足峰值功率约束。借助PowerHerd，网络设计人员可以针对一般情况而不是最坏情况关注系统性能和功率优化，从而可以在系统中使用功能更强大的互连网络。

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