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Power-performance management on an IBM POWER7 server

Published: 18 August 2010 Publication History

Abstract

The processor and cooling subsystems of high-performance servers consume a significant portion of total system power. In this paper, we use the server energy-efficiency benchmark SPECpower_ssj2008 to assess dynamic power management strategies for these sub-systems on an IBM POWER 750 platform.
First, we evaluate the impact of feedback-driven fan control to reduce power while continuously maintaining a suitable thermal environment. Next, we demonstrate the importance of refining traditional utilization-based DVFS algorithms when managing systems with large core and thread counts. We present a new approach and demonstrate its effectiveness with real-world scenarios for dynamic power management.
With reliable runtime power management, we can safely boost (turbo) core frequencies beyond their nominal values to achieve higher throughput. The combined effect of dynamic fan and enhanced processor DVFS control yields an overall improvement of 43% for the energy-efficiency score of the SPECpower_ssj2008 benchmark on our test system.

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cover image ACM Conferences
ISLPED '10: Proceedings of the 16th ACM/IEEE international symposium on Low power electronics and design
August 2010
458 pages
ISBN:9781450301466
DOI:10.1145/1840845
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. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 18 August 2010

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Author Tags

  1. DVFS
  2. POWER7
  3. SPECpower_ssj2008
  4. energy savings
  5. fan control
  6. power management

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Overall Acceptance Rate 398 of 1,159 submissions, 34%

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Cited By

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  • (2024)A multi-agent reinforcement learning-based method for server energy efficiency optimization combining DVFS and dynamic fan controlSustainable Computing: Informatics and Systems10.1016/j.suscom.2024.10097742(100977)Online publication date: Apr-2024
  • (2024)Comprehensive Review and Future Prospects of Multi-Level Fan Control Strategies in Data Centers for Joint Optimization of Thermal Management SystemsJournal of Building Engineering10.1016/j.jobe.2024.110021(110021)Online publication date: Jun-2024
  • (2023)An Efficient Self-Healing Architecture for Improving the RAS Characteristics of RISC-V Server and Its Quantitative Evaluation MethodIEEE Embedded Systems Letters10.1109/LES.2022.319403115:1(41-44)Online publication date: Mar-2023
  • (2020)An energy-efficient power management for heterogeneous servers in data centersComputing10.1007/s00607-020-00805-wOnline publication date: 6-Apr-2020
  • (2016)Montgolfier: Latency-aware power management system for heterogeneous servers2016 IEEE 35th International Performance Computing and Communications Conference (IPCCC)10.1109/PCCC.2016.7820649(1-8)Online publication date: Dec-2016
  • (2015)Optimal Self-Tuning PID Controller Based on Low Power Consumption for a Server Fan Cooling SystemSensors10.3390/s15051168515:5(11685-11700)Online publication date: 20-May-2015
  • (2015)IBM POWER8 circuit design and energy optimizationIBM Journal of Research and Development10.1147/JRD.2014.238020059:1(9:1-9:16)Online publication date: 1-Jan-2015
  • (2015)TimeTraderProceedings of the 48th International Symposium on Microarchitecture10.1145/2830772.2830779(585-597)Online publication date: 5-Dec-2015
  • (2014)Towards energy proportionality for large-scale latency-critical workloadsProceeding of the 41st annual international symposium on Computer architecuture10.5555/2665671.2665718(301-312)Online publication date: 14-Jun-2014
  • (2014)Towards energy proportionality for large-scale latency-critical workloadsACM SIGARCH Computer Architecture News10.1145/2678373.266571842:3(301-312)Online publication date: 14-Jun-2014
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