research-article

HiperViz: Interactive visualization of CPU Temperatures in High Performance Computing Centers

Authors:

Ngan Nguyen,

Tommy DangAuthors Info & Claims

PEARC '19: Practice and Experience in Advanced Research Computing 2019: Rise of the Machines (learning)

Article No.: 129, Pages 1 - 4

https://doi.org/10.1145/3332186.3337959

Published: 28 July 2019 Publication History

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Abstract

This showcase presents HiperViz, an interactive visual interface for real-time monitoring the health status of high-performance computing systems. The objective of our visualization system is threefold: 1) to provide a visual interface for tracking CPU temperatures in large data centers, 2) to detect abnormal events and their temporal and spatial correlations, and 3) to assist system administrators in troubleshooting and maintenance. The visualization showcase is available at https://idatavisualizationlab.github.io/ HPCC/HiperView/demo.html.

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Cited By

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Dang TNguyen NChen Y(2021)HiperView: real-time monitoring of dynamic behaviors of high-performance computing centersThe Journal of Supercomputing10.1007/s11227-021-03724-577:10(11807-11826)Online publication date: 1-Oct-2021
https://dl.acm.org/doi/10.1007/s11227-021-03724-5
Nguyen NNguyen HHass JDang T(2021)JobNet: 2D and 3D Visualization for Temporal and Structural Association in High-Performance Computing SystemAdvances in Visual Computing10.1007/978-3-030-90439-5_17(210-221)Online publication date: 4-Oct-2021
https://dl.acm.org/doi/10.1007/978-3-030-90439-5_17
Dang TVan HNguyen HPham VHewett RPorkaew KChignell MFong SWatanapa B(2020)DeepVixProceedings of the 11th International Conference on Advances in Information Technology10.1145/3406601.3406643(1-10)Online publication date: 1-Jul-2020
https://dl.acm.org/doi/10.1145/3406601.3406643
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Index Terms

HiperViz: Interactive visualization of CPU Temperatures in High Performance Computing Centers
1. Human-centered computing
  1. Visualization
    1. Visualization application domains
      1. Visual analytics

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Information

Published In

PEARC '19: Practice and Experience in Advanced Research Computing 2019: Rise of the Machines (learning)

July 2019

775 pages

ISBN:9781450372275

DOI:10.1145/3332186

General Chair:
Tom Furlani
Roswell Park Comprehensive Cancer Center

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 July 2019

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Research-article
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PEARC '19

PEARC '19: Practice and Experience in Advanced Research Computing

July 28 - August 1, 2019

IL, Chicago, USA

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Overall Acceptance Rate 133 of 202 submissions, 66%

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Cited By

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Dang TNguyen NChen Y(2021)HiperView: real-time monitoring of dynamic behaviors of high-performance computing centersThe Journal of Supercomputing10.1007/s11227-021-03724-577:10(11807-11826)Online publication date: 1-Oct-2021
https://dl.acm.org/doi/10.1007/s11227-021-03724-5
Nguyen NNguyen HHass JDang T(2021)JobNet: 2D and 3D Visualization for Temporal and Structural Association in High-Performance Computing SystemAdvances in Visual Computing10.1007/978-3-030-90439-5_17(210-221)Online publication date: 4-Oct-2021
https://dl.acm.org/doi/10.1007/978-3-030-90439-5_17
Dang TVan HNguyen HPham VHewett RPorkaew KChignell MFong SWatanapa B(2020)DeepVixProceedings of the 11th International Conference on Advances in Information Technology10.1145/3406601.3406643(1-10)Online publication date: 1-Jul-2020
https://dl.acm.org/doi/10.1145/3406601.3406643
Nguyen NDang THass JChen Y(2019)HiperJobViz: Visualizing Resource Allocations in High-Performance Computing Center via Multivariate Health-Status Data2019 IEEE/ACM Industry/University Joint International Workshop on Data-center Automation, Analytics, and Control (DAAC)10.1109/DAAC49578.2019.00009(19-24)Online publication date: Nov-2019
https://doi.org/10.1109/DAAC49578.2019.00009

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