Theoretical and practical limits of dynamic voltage scaling

By Bo Zhai, David T. Blaauw, D. Sylvester, K. Flautner. Proceedings - Design Automation Conference, 2004

445 citations recorded by the source corpus.

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A self-tuning DVS processor using delay-error detection and correction (2005, background): “Due to the quadratic dependence of energy with supply voltage [12], significant energy savings are achievable with DVS.”
Reducing Network Energy Consumption via Sleeping and Rate-Adaptation (2008, background): “While current transistor technology allows scaling up to factors as high as 5 [32], current processors typically use λ ∼ 2 and hence we investigate both values as potential rate scaling limits.”
Near-Threshold Computing: Reclaiming Moore's Law Through Energy Efficient Integrated Circuits (2010, result): “In the superthreshold regime ðVdd > VthÞ, energy is highly sensitive to Vdd due to the quadratic scaling of switching energy with Vdd .H ence voltage scaling down to the near-threshold regime ðVdd � VthÞ yields an energy reduction on the order of 10X at the expense of approximately 10X performance d”
Greening the internet with nano data centers (2009, background): “RELATED WORK Component level energy savings in the IT equipment is an active research area, with ideas ranging from dynamic voltage Scaling [29] and memory power management [15], to operating system scheduling [21].”
A Survey of Green Networking Research (2010, methodology): “Such measurement are either component-wise, focused on speciﬁc aspects of a systems such as the CPU [56], the memory [58] or the hard-drives [70].”