TY - GEN
T1 - DEMM
T2 - 25th IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS 2017
AU - Sharifi, Akbar
AU - Ding, Wei
AU - Guttman, Diana
AU - Zhao, Hui
AU - Tang, Xulong
AU - Kandemir, Mahmut
AU - Das, Chita
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/11/13
Y1 - 2017/11/13
N2 - Since main memory system contributes to a large and increasing fraction of server/datacenter energy consumption, there have been several efforts to reduce its power and energy consumption. DVFS schemes have been used to reduce the memory power, but they come with a performance penalty. In this work, we propose DEMM, an OS-based, high performance DVFS mechanism that reduces memory power by dynamically scaling individual memory channel frequencies/voltages. Our strategy also involves clustering the running applications based on their sensitivities to memory latency, and assigning memory channels to the application clusters. We introduce a new metric called Discrete Misses per Kilo Cycle (DMPKC) to capture the performance sensitivities of the applications to memory frequency modulation. DEMM allows us to save power in the memory system with negligible impact on performance. We demonstrate around 25% savings in the memory system energy and 10% savings in the total system energy, with only a 4% loss in workload performance.
AB - Since main memory system contributes to a large and increasing fraction of server/datacenter energy consumption, there have been several efforts to reduce its power and energy consumption. DVFS schemes have been used to reduce the memory power, but they come with a performance penalty. In this work, we propose DEMM, an OS-based, high performance DVFS mechanism that reduces memory power by dynamically scaling individual memory channel frequencies/voltages. Our strategy also involves clustering the running applications based on their sensitivities to memory latency, and assigning memory channels to the application clusters. We introduce a new metric called Discrete Misses per Kilo Cycle (DMPKC) to capture the performance sensitivities of the applications to memory frequency modulation. DEMM allows us to save power in the memory system with negligible impact on performance. We demonstrate around 25% savings in the memory system energy and 10% savings in the total system energy, with only a 4% loss in workload performance.
UR - http://www.scopus.com/inward/record.url?scp=85034014178&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85034014178&partnerID=8YFLogxK
U2 - 10.1109/MASCOTS.2017.16
DO - 10.1109/MASCOTS.2017.16
M3 - Conference contribution
AN - SCOPUS:85034014178
T3 - Proceedings - 25th IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS 2017
SP - 210
EP - 220
BT - Proceedings - 25th IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS 2017
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 20 September 2017 through 22 September 2017
ER -
