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Multiple clock and Voltage Domains for chip multi processors

机译:芯片多处理器的多个时钟和电压域

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Power and thermal are major constraints for delivering compute performance in high-end CPU and are expected to be so in the future. CMP is becoming important by delivering more compute performance within the power constraints. Dynamic Voltage and Frequency Scaling (DVFS) has been studied in past work as a mean to increase save power and improving the overall processor's performance while meeting the total power and/or thermal constraints. For such systems, power delivery limitations are becoming a significant practical design consideration, unfortunately this aspect of the design was almost ignored by many research works. This paper explores the various possible topologies to build a high end multi-core CPU and the available policies that maximize performance within the set of physical limitations. It evaluates single and multiple voltage and frequency domains and introduces a new clustered topology, grouping several cores together. A hybrid model, using measurements of a real CPU, cycle accurate simulator and an analytical model is introduced. The results presented indicate that considering power delivery limitations diverts the conclusions when such limitations are ignored. This paper shows that a single power domain topology performs up to 30% better than multiple power domains on light-threaded workload. In the fully threaded application the results divert. Clustered topology performs well for any number of threads.
机译:功率和热量是在高端CPU中提供计算性能的主要限制因素,预计将来也会如此。通过在功耗限制内提供更多的计算性能,CMP变得越来越重要。在过去的工作中已经对动态电压和频率缩放(DVFS)进行了研究,以期在满足总功率和/或热量限制的同时增加省电并改善处理器的整体性能。对于此类系统,功率传输限制已成为重要的实际设计考虑因素,不幸的是,许多研究工作都几乎忽略了设计的这一方面。本文探讨了构建高端多核CPU的各种可能的拓扑,以及在物理限制范围内最大化性能的可用策略。它评估了单个和多个电压和频域,并引入了一种新的群集拓扑,将多个内核分组在一起。引入了一个混合模型,该模型使用实际CPU的测量值,周期精确的模拟器和分析模型。给出的结果表明,当忽略功率限制时,考虑功率传输限制会使结论有所不同。本文显示,在光线程工作负载上,单个电源域拓扑的性能比多个电源域高30%。在全线程应用程序中,结果将转移。群集拓扑对于任何数量的线程都表现良好。

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