TY - GEN
T1 - TAPO
T2 - 2011 International Green Computing Conference, IGCC 2011
AU - Huang, Wei
AU - Allen-Ware, Malcolm
AU - Carter, John B.
AU - Elnozahy, Elmootazbellah
AU - Hamann, Hendrik
AU - Keller, Tom
AU - Lefurgy, Charles
AU - Li, Jian
AU - Rajamani, Karthick
AU - Rubio, Juan
PY - 2011
Y1 - 2011
N2 - A large portion of the power consumption of data centers can be attributed to cooling. In dynamic thermal management mechanisms for data centers and servers, thermal setpoints are typically chosen statically and conservatively, which leaves significant room for improvement in the form of improved energy efficiency. In this paper, we propose two hierarchical thermal-aware power optimization techniques that are complementary to each other and achieve (i) lower overall system power with no performance penalty or (ii) higher performance within the same power budget.
AB - A large portion of the power consumption of data centers can be attributed to cooling. In dynamic thermal management mechanisms for data centers and servers, thermal setpoints are typically chosen statically and conservatively, which leaves significant room for improvement in the form of improved energy efficiency. In this paper, we propose two hierarchical thermal-aware power optimization techniques that are complementary to each other and achieve (i) lower overall system power with no performance penalty or (ii) higher performance within the same power budget.
UR - https://www.scopus.com/pages/publications/80053193425
U2 - 10.1109/IGCC.2011.6008610
DO - 10.1109/IGCC.2011.6008610
M3 - Conference contribution
AN - SCOPUS:80053193425
SN - 9781457712203
T3 - 2011 International Green Computing Conference and Workshops, IGCC 2011
BT - 2011 International Green Computing Conference and Workshops, IGCC 2011
Y2 - 25 July 2011 through 28 July 2011
ER -