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                    <title>Universität Bremen - DSC-2025-23 | Hackathon: Explore Working on a (the DSC) HPC Cluster</title>
                    <link>https://www.uni-bremen.de/data-science-center/trainings-services/trainings-workshops/dsc-2025-23-hackathon-explore-working-on-a-the-dsc-hpc-cluster</link>
                    <description>DSC-2025-23 | Hackathon: Explore working on a (the DSC) HPC Cluster</description>
                    <language>de</language>
                    <copyright>Universität Bremen</copyright>
                    <pubDate>Wed, 19 Aug 2026 07:25:57 +0200</pubDate>
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                            <pubDate>Fri, 06 Mar 2026 14:27:19 +0100</pubDate>
                            <title>Background</title>
                            <link>https://www.uni-bremen.de/data-science-center/trainings-services/trainings-workshops/dsc-2025-23-hackathon-explore-working-on-a-the-dsc-hpc-cluster#c676584</link>
                            
                            <description>&amp;lt;p&amp;gt;High Performance Computing (HPC) clusters make it possible to tackle tasks that go far beyond the capabilities of a single laptop or workstation. Whether it’s processing massive datasets, training advanced machine learning models, running complex simulations, or performing large-scale data analysis, a cluster provides the speed, capacity, and parallel processing power needed to get results faster and more efficiently. Learning to work on an HPC cluster opens doors to solving problems at a scale that’s simply not possible on standard hardware.&amp;lt;/p&amp;gt;
&amp;lt;p&amp;gt;The DSC HPC cluster consists of two nodes. Each node has two (3.0GHz) AMD EPYC 7313 16-Core Processor and 128GB RAM. In addition to that the specialized GPU Node is equipped with three Tesla V100S graphic cards, perfect for huge amounts of data used in data science or AI.&amp;lt;/p&amp;gt;</description>
                            
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                            <pubDate>Fri, 06 Mar 2026 14:27:19 +0100</pubDate>
                            <title>Event Format</title>
                            <link>https://www.uni-bremen.de/data-science-center/trainings-services/trainings-workshops/dsc-2025-23-hackathon-explore-working-on-a-the-dsc-hpc-cluster#c676585</link>
                            
                            <description>&amp;lt;h5&amp;gt;This is a hackathon-style event. We’ll start with an introduction covering:&amp;lt;/h5&amp;gt;
&amp;lt;ul&amp;gt; 	&amp;lt;li&amp;gt;HPC basics and why clusters are powerful tools&amp;lt;/li&amp;gt; 	&amp;lt;li&amp;gt;The DSC cluster’s architecture and available resources&amp;lt;/li&amp;gt; 	&amp;lt;li&amp;gt;How to connect, transfer data, and submit jobs&amp;lt;/li&amp;gt; &amp;lt;/ul&amp;gt;
&amp;lt;h5&amp;gt;After that, you take the lead:&amp;lt;/h5&amp;gt;
&amp;lt;ul&amp;gt; 	&amp;lt;li&amp;gt;Work with our cluster manual, on your own ideas or bring an existing project&amp;lt;/li&amp;gt; 	&amp;lt;li&amp;gt;Team up with other participants to collaborate&amp;lt;/li&amp;gt; 	&amp;lt;li&amp;gt;Explore provided example use cases such as BERT for large-scale text analysis, audio transcription with Whisper, and more examples showcasing how to work on the cluster.&amp;lt;/li&amp;gt; 	&amp;lt;li&amp;gt;Get on-demand support from the DSC team for technical questions&amp;lt;/li&amp;gt; &amp;lt;/ul&amp;gt;
&amp;lt;p&amp;gt;The hackathon has a flexible ending. Participants are welcome to stay longer, keep working, wrap up at their own pace, and order some pizza.&amp;lt;/p&amp;gt;</description>
                            
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                            <guid isPermaLink="false">content-676590</guid>
                            <pubDate>Fri, 06 Mar 2026 14:27:19 +0100</pubDate>
                            <title>Target Audience &amp; Prior Knowledge</title>
                            <link>https://www.uni-bremen.de/data-science-center/trainings-services/trainings-workshops/dsc-2025-23-hackathon-explore-working-on-a-the-dsc-hpc-cluster#c676590</link>
                            
                            <description>&amp;lt;p&amp;gt;This hackathon is open to anyone curious about high performance computing and working on the HPC of the DSC. No prior HPC experience is required. The introduction will provide the basics, and the hackathon format allows everyone to work at their own pace and skill level&amp;lt;/p&amp;gt;</description>
                            
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                            <pubDate>Fri, 06 Mar 2026 14:27:19 +0100</pubDate>
                            <title>Technical Requirements</title>
                            <link>https://www.uni-bremen.de/data-science-center/trainings-services/trainings-workshops/dsc-2025-23-hackathon-explore-working-on-a-the-dsc-hpc-cluster#c676591</link>
                            
                            <description>&amp;lt;ul&amp;gt; 	&amp;lt;li&amp;gt;Please bring your own notebook with a connection to the Wifi (e.g. via eduroam: &amp;lt;a href=&amp;quot;https://www.uni-bremen.de/en/zfn/wifi/overview-wifi&amp;quot; target=&amp;quot;_blank&amp;quot;&amp;gt;https://www.uni-bremen.de/en/zfn/wifi/overview-wifi&amp;lt;/a&amp;gt;).&amp;lt;/li&amp;gt; 	&amp;lt;li&amp;gt;A &amp;lt;a class=&amp;quot;external-link&amp;quot; href=&amp;quot;https://www.uni-bremen.de/en/zfn/your-university-account/overview&amp;quot; target=&amp;quot;_blank&amp;quot; title=&amp;quot;Öffnet externen Link in neuem Fenster&amp;quot;&amp;gt;ZfN University Bremen Account&amp;lt;/a&amp;gt; (otherwise you can’t access the cluster).&amp;lt;/li&amp;gt; 	&amp;lt;li&amp;gt;Optional: a project or problem to work on – otherwise, interesting example cases will be provided.&amp;lt;/li&amp;gt; &amp;lt;/ul&amp;gt;</description>
                            
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                            <pubDate>Fri, 06 Mar 2026 14:27:19 +0100</pubDate>
                            <title>About the Trainers</title>
                            <link>https://www.uni-bremen.de/data-science-center/trainings-services/trainings-workshops/dsc-2025-23-hackathon-explore-working-on-a-the-dsc-hpc-cluster#c676594</link>
                            
                            
                            
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