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

页码：881 / 893

页数：13

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