Author | Barthel, Robert | dc.contributor.author |
Author | Salk, Jürgen | dc.contributor.author |
Date of accession | 2022-11-24T10:35:36Z | dc.date.accessioned |
Available in OPARU since | 2022-11-24T10:35:36Z | dc.date.available |
Date of first publication | 2022-11-24 | dc.date.issued |
Abstract | In order to address the rising demands for scientific computing and for processing large volumes of data in research, development and education, a new state-wide strategy bwHPC for High Performance Computing (HPC) has been implemented in the state of Baden-Württemberg, Germany. This concept does not only allow for the advancement of HPC at all tiers, but also for Data Intensive Computing (DIC) and associated Large Scale Scientific Data Management (LS2DM), thereby offering a single point of view on all services for users. The accompanying state-wide project bwHPC-S5 provides federated support for the bwHPC users and coordinates all associated provisions, including development of policies and services. As the connecting body between scientists and HPC and data storage systems, bwHPC-S5 has proven to create synergies for the development of state-wide user support. The implementation of professional competence centers guarantees the support expertise required to embed the scientific communities into the HPC, DIC and LS2DM world and to increase efficiency and effectiveness in utilizing both, the compute and storage resources, by optimizing workflows as well as performance and scalability of applications. Thus, bwHPC-S5 extends the federated services established in previous projects to include the acquisition, processing, storage and archiving of large scientific datasets. A constantly refined and coordinated training program for the topics HPC, DIC and LS2DM complements the user support services. Furthermore the project assesses and adapts new technologies in close cooperation with users to allow fast incorporation into existing infrastructures. | dc.description.abstract |
Language | en | dc.language.iso |
Publisher | Universität Ulm | dc.publisher |
Is part of | http://dx.doi.org/10.18725/OPARU-46164 | dc.relation.ispartof |
License | CC BY-SA 4.0 International | dc.rights |
Link to license text | https://creativecommons.org/licenses/by-sa/4.0/ | dc.rights.uri |
Keyword | bwHPC | dc.subject |
Keyword | bwHPC-S5 | dc.subject |
Keyword | Federated Support | dc.subject |
Keyword | HPC | dc.subject |
Keyword | Data Intensive Computing | dc.subject |
Keyword | Large Scale Scientific Data Management | dc.subject |
Dewey Decimal Group | DDC 004 / Data processing & computer science | dc.subject.ddc |
LCSH | High performance computing | dc.subject.lcsh |
Title | bwHPC-S5 - Scientific Simulation and Storage Support Services | dc.title |
Resource type | Beitrag zu einer Konferenz | dc.type |
Version | publishedVersion | dc.description.version |
DOI | http://dx.doi.org/10.18725/OPARU-46056 | dc.identifier.doi |
URN | http://nbn-resolving.de/urn:nbn:de:bsz:289-oparu-46132-7 | dc.identifier.urn |
GND | Hochleistungsrechnen | dc.subject.gnd |
GND | Datenmanagement | dc.subject.gnd |
Institution | Kommunikations- und Informationszentrum (kiz) | uulm.affiliationSpecific |
Peer review | ja | uulm.peerReview |
DCMI Type | Text | uulm.typeDCMI |
Category | Publikationen | uulm.category |
Source - Title of source | Proceedings of the 7th bwHPC Symposium | source.title |
Quellenangabe - Herausgeber | Universität Ulm | source.contributor.editor1 |
Source - Publisher | Ulm | source.publisherPlace |
Source - Volume | 7 | source.volume |
Source - Year | 2022 | source.year |
Source - From page | 1 | source.fromPage |
Source - To page | 6 | source.toPage |
Source - Article number | 1 | source.articleNumber |
Source - ISBN | 978-3-948303-29-7 | source.identifier.isbn |
Conference name | 7th bwHPC Symposium | uulm.conferenceName |
Conference place | Ulm University (online event) | uulm.conferencePlace |
Conference start date | 2021-11-08 | uulm.conferenceStartDate |
Conference end date | 2021-11-08 | uulm.conferenceEndDate |
Bibliography | uulm | uulm.bibliographie |
Project uulm | bwHPC-S5 / MWK Baden-Württemberg | uulm.projectOther |