<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>ISC23 | HPC Operational Data Analytics</title><link>https://hpc-oda-org.pages.dev/tag/isc23/</link><atom:link href="https://hpc-oda-org.pages.dev/tag/isc23/index.xml" rel="self" type="application/rss+xml"/><description>ISC23</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Tue, 23 May 2023 10:00:00 +0000</lastBuildDate><image><url>https://hpc-oda-org.pages.dev/media/logo.svg</url><title>ISC23</title><link>https://hpc-oda-org.pages.dev/tag/isc23/</link></image><item><title>Operational Data Analytics</title><link>https://hpc-oda-org.pages.dev/events/2023-isc23-oda-bof/</link><pubDate>Tue, 23 May 2023 10:00:00 +0000</pubDate><guid>https://hpc-oda-org.pages.dev/events/2023-isc23-oda-bof/</guid><description>&lt;h2 id="session-overview">Session Overview&lt;/h2>
&lt;p>At ISC 2023 in Hamburg, the ODA BoF returned to pick up where SC22 left off: with sites now collecting operational data at unprecedented scale, the community&amp;rsquo;s focus had shifted to analyzing it. The session combined two short 10-minute presentations on the state of the art with an extended open discussion, structured around beginner, intermediate, and advanced content in roughly equal proportions.&lt;/p>
&lt;h2 id="key-discussion-themes">Key Discussion Themes&lt;/h2>
&lt;ul>
&lt;li>&lt;strong>From dashboards to AI.&lt;/strong> Dashboards remained valuable, but AI-based methods were emerging as the scalable response to the &amp;ldquo;humongous amounts of data&amp;rdquo; operators now held.&lt;/li>
&lt;li>&lt;strong>Collaboration across communities.&lt;/strong> Data analytics was not typically the core expertise of HPC data centers, creating a clear opening for partnership with the broader data-analytics research community.&lt;/li>
&lt;li>&lt;strong>Operator, researcher, vendor.&lt;/strong> The session targeted HPC system operators, monitoring specialists, and data-analytics researchers together, reflecting that ODA only works when these three groups share practice.&lt;/li>
&lt;/ul>
&lt;h2 id="outcome">Outcome&lt;/h2>
&lt;p>The BoF&amp;rsquo;s discussion of open data and standardization continued in the ODA team&amp;rsquo;s monthly meetings under the EEHPCWG and set up the data-standardization focus of the SC23 ODA BoF six months later.&lt;/p></description></item></channel></rss>