TY - GEN
T1 - PowerPrep
T2 - 15th IEEE International Conference on Networking, Architecture and Storage, NAS 2021
AU - Govindaraj, Vineetha
AU - George, Sumitha
AU - Kandemir, Mahmut
AU - Sampson, John
AU - Naryanan, Vijaykrishnan
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Modern data center applications are user facing/latency critical. Our work analyzes the characteristics of such applications i.e., high idleness, unpredictable CPU usage, and high sensitivity to CPU performance. In spite of such execution characteristics, datacenter operators disable sleep states to optimize performance. Deep-sleep states hurt performance mainly due to: a) high wake-latency and b) cache warm-up after exiting deep-sleep. To address these challenges, we quantify three necessary characteristics required to realize deep-sleep states in datacenter applications: a) low wake-latency, b) low resident power, and c) selective retention of cache-state. Using these observations, we show how emerging technological advances can be leveraged to improve the energy efficiency of latency-critical datacenter workloads.
AB - Modern data center applications are user facing/latency critical. Our work analyzes the characteristics of such applications i.e., high idleness, unpredictable CPU usage, and high sensitivity to CPU performance. In spite of such execution characteristics, datacenter operators disable sleep states to optimize performance. Deep-sleep states hurt performance mainly due to: a) high wake-latency and b) cache warm-up after exiting deep-sleep. To address these challenges, we quantify three necessary characteristics required to realize deep-sleep states in datacenter applications: a) low wake-latency, b) low resident power, and c) selective retention of cache-state. Using these observations, we show how emerging technological advances can be leveraged to improve the energy efficiency of latency-critical datacenter workloads.
UR - http://www.scopus.com/inward/record.url?scp=85123203413&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85123203413&partnerID=8YFLogxK
U2 - 10.1109/NAS51552.2021.9605364
DO - 10.1109/NAS51552.2021.9605364
M3 - Conference contribution
AN - SCOPUS:85123203413
T3 - 2021 IEEE International Conference on Networking, Architecture and Storage, NAS 2021 - Proceedings
BT - 2021 IEEE International Conference on Networking, Architecture and Storage, NAS 2021 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 24 October 2021 through 26 October 2021
ER -
