Reflections on the Developments of Visual Analytics Systems for the K Computer System Log Data

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dc.contributor.authorNonaka, Jorjien_US
dc.contributor.authorFujita, Keijiroen_US
dc.contributor.authorFujiwara, Takanorien_US
dc.contributor.authorSakamoto, Naohisaen_US
dc.contributor.authorYamamoto, Keijien_US
dc.contributor.authorTerai, Masaakien_US
dc.contributor.authorTsukamoto, Toshiyukien_US
dc.contributor.authorShoji, Fumiyoshien_US
dc.contributor.editorGillmann, Christinaen_US
dc.contributor.editorKrone, Michaelen_US
dc.contributor.editorReina, Guidoen_US
dc.contributor.editorWischgoll, Thomasen_US
dc.date.accessioned2023-06-10T05:37:07Z
dc.date.available2023-06-10T05:37:07Z
dc.date.issued2023
dc.description.abstractFlagship-class high-performance computing (HPC) systems, also known as supercomputers, are large, complex systems that require particular attention for continuous and long-term stable operations. The K computer was a Japanese flagship-class supercomputer ranked as the fastest supercomputer in the Top500 ranking when it first appeared. It was composed of more than eighty thousand compute nodes and consumed more than 12 MW when running the LINPACK benchmark for the Top500 submission. A combined power substation, with a natural gas co-generation system (CGS), was used for the power supply, and also a large air/water cooling facility was used to extract the massive heat generated from this HPC system. During the years of its regular operation, a large log dataset has been generated from the K computer system and its facility, and several visual analytics systems have been developed to better understand the K computer's behavior during the operation as well as the probable correlation of operational temperature with the critical hardware failures. In this paper, we will reflect on these visual analytics systems, mainly developed by graduate students, intended to be used by different types of end users on the HPC site. In addition, we will discuss the importance of collaborative development involving the end users, and also the importance of technical people in the middle for assisting in the deployment and possible continuation of the developed systems.en_US
dc.description.sectionheadersSoftware Infrastructure
dc.description.seriesinformationVisGap - The Gap between Visualization Research and Visualization Software
dc.identifier.doi10.2312/visgap.20231116
dc.identifier.isbn978-3-03868-226-4
dc.identifier.pages11-18
dc.identifier.pages8 pages
dc.identifier.urihttps://doi.org/10.2312/visgap.20231116
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/visgap20231116
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Human-centered computing -> Visualization systems and tools; Visual analytics; Hardware -> Robustness
dc.subjectHuman centered computing
dc.subjectVisualization systems and tools
dc.subjectVisual analytics
dc.subjectHardware
dc.subjectRobustness
dc.titleReflections on the Developments of Visual Analytics Systems for the K Computer System Log Dataen_US
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VisGap2023 - The Gap between Visualization Research and Visualization Software