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<title>Proceedings of the 5th bwHPC Symposium</title>
<link>http://hdl.handle.net/10900/86577</link>
<description/>
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<dc:date>2026-09-19T00:57:40Z</dc:date>
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<title>Grußwort der Ministerin für Wissenschaft, Forschung und Kunst Baden-Württemberg</title>
<link>http://hdl.handle.net/10900/87675</link>
<description>Grußwort der Ministerin für Wissenschaft, Forschung und Kunst Baden-Württemberg
Bauer, Theresia
Grußwort
</description>
<dc:date>2019-04-01T00:00:00Z</dc:date>
</item>
<item rdf:about="http://hdl.handle.net/10900/87671">
<title>Game of Templates. Deploying and (re-)using Virtualized Research Environments in High-Performance and High-Throughput Computing</title>
<link>http://hdl.handle.net/10900/87671</link>
<description>Game of Templates. Deploying and (re-)using Virtualized Research Environments in High-Performance and High-Throughput Computing
Bauer, Jonathan; Suchodoletz, Dirk von; Vollmer, Jeannette; Rasche, Helena
The Virtual Open Science Collaboration Environment project worked on different&#13;
use cases to evaluate the necessary steps for virtualization or containerization&#13;
especially when considering the external dependencies of digital workflows. Virtualized&#13;
Research Environments (VRE) can both help to broaden the user base of an&#13;
HPC cluster like NEMO and offer new forms of packaging scientific workflows as&#13;
well as managing software stacks. The eResearch initiative on VREs sponsored by&#13;
the state of Baden-Württemberg provided the necessary framework for both the&#13;
researchers of various disciplines as well as the providers of (large-scale) compute&#13;
infrastructures to define future operational models of HPC clusters and scientific&#13;
clouds. In daily operations, VREs running on virtualization or containerization&#13;
technologies such as OpenStack or Singularity help to disentangle the responsibilities&#13;
regarding the software stacks needed to fulfill a certain task. Nevertheless,&#13;
the reproduction of VREs as well as the provisioning of research data to be computed&#13;
and stored afterward creates a couple of challenges which need to be solved&#13;
beyond the traditional scientific computing models.
</description>
<dc:date>2019-04-01T00:00:00Z</dc:date>
</item>
<item rdf:about="http://hdl.handle.net/10900/87669">
<title>A Sorting Hat For Clusters. Dynamic Provisioning of Compute Nodes for Colocated Large Scale Computational Research Infrastructures</title>
<link>http://hdl.handle.net/10900/87669</link>
<description>A Sorting Hat For Clusters. Dynamic Provisioning of Compute Nodes for Colocated Large Scale Computational Research Infrastructures
Bauer, Jonathan; Messner, Manuel; Janczyk, Michael; Suchodoletz, Dirk von; Wiebelt, Bernd; Rasche, Helena
Current large scale computational research infrastructures are composed of multitudes&#13;
of compute nodes fitted with similar or identical hardware. For practical&#13;
purposes, the deployment of the software operating environment to each compute&#13;
node is done in an automated fashion. If a data centre hosts more than one of&#13;
these systems – for example cloud and HPC clusters – it is beneficial to use the&#13;
same provisioning method for all of them. The uniform provisioning approach&#13;
unifies administration of the various systems and allows flexible dedication and&#13;
reconfiguration of computational resources. In particular, we will highlight the&#13;
requirements on the underlying network infrastructure for unified remote boot&#13;
but segregated service operations. Building upon this, we will present the Boot&#13;
Selection Service, allowing for the addition, removal or rededication of a node to&#13;
a given research infrastructure with a simple reconfiguration.
</description>
<dc:date>2019-04-01T00:00:00Z</dc:date>
</item>
<item rdf:about="http://hdl.handle.net/10900/87668">
<title>de.NBI Cloud Storage Tübingen. A federated and georedundant solution for large scientific data</title>
<link>http://hdl.handle.net/10900/87668</link>
<description>de.NBI Cloud Storage Tübingen. A federated and georedundant solution for large scientific data
Gläßle, Benjamin; Hanussek, Maximilian; Bartusch, Felix; Lutz, Volker; Hahn, Ulrich; Dilling, Werner; Walter, Thomas; Krüger, Jens
The »German Network for Bioinformatics Infrastructure«, or in short »de.NBI«,&#13;
is a national research infrastructure providing bioinformatics services to users in&#13;
life sciences research, biomedicine and related fields. At five sites across Germany,&#13;
cloud sites were established to host the bioinformatics services. In Tübingen an&#13;
extension of the storage capabilites of the cloud was planned, implemented and&#13;
brought into production. We here report about the motivation, requirements,&#13;
design decisions and experiences which might serve as inspiration for other large&#13;
scale storage endeavours in the academic domain.
</description>
<dc:date>2019-04-01T00:00:00Z</dc:date>
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