幂律的威力:或如何在SoC中省电

C. Teuscher, H. Chung, A. Grimm, Avinash Amarnath, Neha Parashar
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引用次数: 2

摘要

在过去的几十年里,电力和能源问题在计算环境中变得越来越重要。在移动设备和大规模数据中心的世界中,低功耗系统对于成本、可用性和环境至关重要。在计算系统中最小化功耗是一个复杂的问题,可以通过各种策略和不同级别来解决。在本文中,我们关注的是片上系统(SoC),特别是节能的片上网络(NoC)拓扑。“天下没有免费的午餐”这句流行语同样适用于计算系统。为了在NoC的设计空间中寻求功率和性能的优化,我们研究了SoC的非本地互连架构。通过采用复杂的网络视角和优化技术,我们表明具有幂律距离依赖线长分布的小世界网络在提供相同性能的同时比简单的小世界拓扑更节能。我们认为这样的网络占据了noc设计空间的最优位置。我们的结果与解决全局(或远程)链接的可伸缩性问题、构建更节能的计算机以及通过自组装构建的新兴计算设备特别相关。
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The power of power-laws: Or how to save power in SoC
Power and energy issues have significantly gained in importance in computing environments in the last few decades. In a world of mobile devices and massive-scale data centers, low-power systems are crucial for cost, availability, and the environment. Minimizing power consumption in a computing system is a complex problem that can be addressed with various strategies and on various levels. In this paper we focus on System-on-Chip (SoC), and in particular on power-efficient Network-on-Chip (NoC) topologies. The popular saying that “there ain't no such thing as a free lunch” applies to computing systems likewise. In the quest for power and performance optima in the design space of NoC, we investigate non-local interconnect architectures for SoC. By adopting a complex network perspective and by employing an optimization technique, we show that small-world networks with power-law distance-dependent wire-length distributions are more power-efficient while offering the same performance than simple small-world topologies. We argue that such networks occupy optimal spots in the design space of NoCs. Our results are particularly relevant for addressing the scalability problem of global (or long-range) links, for building more power-efficient computers, and for emerging computing devices built through self-assembly.
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