Minimizing data center cooling and server power costs

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee

Charge recycling in MTCMOS circuits: concept and analysis

Designing an energy efficient power gating structure is an important and challenging task in Multi-Threshold CMOS (MTCMOS) circuit design. In order to achieve a very low power design, the large amount of energy consumed during mode transition in MTCMOS circuits should be avoided. In this paper, we propose an appropriate charge recycling technique to reduce energy consumption during the mode transition of MTCMOS circuits. The proposed method can save up to 46 % of the mode transition energy while, in most cases, maintaining, or even improving, the wake up time of the original circuit. It also reduces the peak negative voltage value and the settling time of the ground bounce

Coarse-grain mtcmos sleep transistor sizing using delay budgeting

Power gating is one of the most effective techniques in reducing the standby leakage current of VLSI circuits. In this paper we introduce a new approach for sleep transistor sizing which minimizes the total sleep transistor width for a coarse-grain multi-threshold CMOS circuit assuming a given standard cell and sleep transistor placement. First, the circuit is decomposed into a set of modules, each containing the set of logic cells that are closest to a sleep transistor cell. Next given an upper bound on the overall circuit speed degradation, the global timing slack is distributed among different clusters using a delay-budgeting. The slack distribution result is then used to size the sleep transistors such that the total sleep transistor width is minimized while accounting for the parasitic resistances of the virtual ground net. Results show that the proposed sizing algorithm produces sleep transistor sizes that are 40 % smaller than those produced by previous approaches. 1

Minimizing the power consumption of a Chip Multiprocessor under an average throughput constraint

ABSTRACT- In a multi-core system, power and performance may be dynamically traded off by utilizing power management (PM). This paper addresses the problem of minimizing the total power consumption of a Chip Multiprocessor (CMP) while maintaining a target average throughput. The proposed solution relies on a hierarchical framework, which employs core consolidation, coarse-grain dynamic voltage and frequency scaling (DVFS), and task assignment at the CMP level and fine-grain DVFS based on closed-loop feedback control at the individual core level. Our experimental results are very favorable showing noticeable average power saving compared to a baseline technique, and demonstrate the high efficacy of the proposed hierarchical PM framework