Simulation and Automated Temperature Control of the Supercomputer Center

High computational load on supercomputers and data centers is accompanied by excessive energy consumption and critical heating of electronic units. The temperature field on the electronic units in the server room was simulated using a finite element engineering program. The dependence of temperature on external conditions was calculated and the need to include additional air conditioning in the server room was shown. Efficient operation and further increase in the productivity of server rooms require constant monitoring of their temperature fields and cooling systems. This paper describes the results of developing an application for monitoring the temperature in a supercomputer center in order to automate high temperature warning system, which is especially important during the hot summer period. Previously used systems can trigger local alarms, but do not have remote notification capabilities such as email or SMS, and require manual adjustment. The proposed application is aimed at improving operational safety by providing engineers with the ability to receive alerts directly to their phones, which allows for better control and management of the temperature in server rooms. The combination of a computer model that can simulate the temperature field and a monitoring system that measures temperature makes it possible to create a digital twin of a supercomputer center.

Authors

Institutions

Publication Details

Published
2025-03-24
DOI
https://doi.org/10.1109/smartindustrycon65166.2025.10986207
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Simulation and Automated Temperature Control of the Supercomputer Center

A. I. Ogorodnikov, O. N. Ivanova, Ali M. Mozan Al.Koaerji
Distributed and Parallel Computing Systems
article

Simulation and Automated Temperature Control of the Supercomputer Center

A. I. Ogorodnikov, O. N. Ivanova, Ali M. Mozan Al.Koaerji
article en

Abstract

High computational load on supercomputers and data centers is accompanied by excessive energy consumption and critical heating of electronic units. The temperature field on the electronic units in the server room was simulated using a finite element engineering program. The dependence of temperature on external conditions was calculated and the need to include additional air conditioning in the server room was shown. Efficient operation and further increase in the productivity of server rooms require constant monitoring of their temperature fields and cooling systems. This paper describes the results of developing an application for monitoring the temperature in a supercomputer center in order to automate high temperature warning system, which is especially important during the hot summer period. Previously used systems can trigger local alarms, but do not have remote notification capabilities such as email or SMS, and require manual adjustment. The proposed application is aimed at improving operational safety by providing engineers with the ability to receive alerts directly to their phones, which allows for better control and management of the temperature in server rooms. The combination of a computer model that can simulate the temperature field and a monitoring system that measures temperature makes it possible to create a digital twin of a supercomputer center.

South Ural State University (RU), Ural Federal University (RU)
Affordable and clean energy
Openalex Percentile: Top 90%
Distributed and Parallel Computing Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.