Operating Liquid-Cooled Large-Scale Systems: Long-Term Monitoring, Reliability Analysis, and Efficiency Measures

被引：3
|
作者：
Roy, Rohan Basu [1 ]
Patel, Tirthak [1 ]
Kettimuthu, Raj [2 ]
Allcock, William [2 ]
Rich, Paul [2 ]
Scovel, Adam [2 ]
Tiwari, Devesh [1 ]
机构：
[1] Northeastern Univ, Boston, MA 02115 USA
[2] Argonne Natl Lab, Argonne, IL 60439 USA
来源：
2021 27TH IEEE INTERNATIONAL SYMPOSIUM ON HIGH-PERFORMANCE COMPUTER ARCHITECTURE (HPCA 2021) | 2021年
关键词：
POWER-CONSUMPTION; DATA CENTERS; ENERGY; TEMPERATURE;
D O I：
10.1109/HPCA51647.2021.00078
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The past decade has seen a rise in the use of liquid cooling due to its energy efficiency. While many previous works have helped make progress toward improving data center cooling, a vast majority of them perform studies on a small system over a short span. The computer systems and HPC community lacks a long-term study highlighting the challenges and solutions in operating a liquid-cooled large-scale data center. We conduct the first detailed characterization of a petascale supercomputer, Mira, over a span of six years. The study is enabled by systematic monitoring of the environmental metrics, and discusses new research avenues, including coolant monitor failures.
引用
收藏
页码：881 / 893
页数：13
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