The Impacts of Locality and Memory Congestion-aware Thread Mapping on Energy Consumption of Modern NUMA Systems

被引：1
|
作者：
Agung, Mulya [1 ]
Amrizal, Muhammad Alfian [2 ]
Egawa, Ryusuke [1 ,3 ]
Takizawa, Hiroyuki [1 ,3 ]
机构：
[1] Tohoku Univ, Grad Sch Informat Sci, Sendai, Miyagi, Japan
[2] Tohoku Univ, Res Inst Elect Commun, Sendai, Miyagi, Japan
[3] Tohoku Univ, Cybersci Ctr, Sendai, Miyagi, Japan
来源：
2019 IEEE SYMPOSIUM IN LOW-POWER AND HIGH-SPEED CHIPS (COOL CHIPS 22) | 2019年
关键词：
thread mapping; locality; memory congestion; modern NUMA system; energy consumption;
D O I：
10.1109/coolchips.2019.8721346
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Thread mapping is crucial to improve the performance and energy consumption of modern NUMA systems. In this work, we investigate the impacts of locality and memory congestion-aware thread mapping on the energy consumption. Our evaluation shows that considering both the locality and memory congestion can significantly reduce not only the performance but also the total energy consumption, though it could potentially increase the interconnect traffic and also cache misses.
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页数：3
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