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Nurgaliev, Azat and Paradies, Marcus (2021) Automated I/O Parameter Tuning of Scientific Applications with Parametrizable Workload Replays. FAST '21 Work-in-Progress Reports (WiPs), 23-25 Feb 2021, United States of America.
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Official URL: https://www.usenix.org/conference/fast21/wips
| Item URL in elib: | https://elib.dlr.de/145821/ | ||||||||||||
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| Document Type: | Conference or Workshop Item (Speech) | ||||||||||||
| Title: | Automated I/O Parameter Tuning of Scientific Applications with Parametrizable Workload Replays | ||||||||||||
| Authors: |
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| Date: | February 2021 | ||||||||||||
| Refereed publication: | Yes | ||||||||||||
| Open Access: | Yes | ||||||||||||
| Gold Open Access: | No | ||||||||||||
| In SCOPUS: | No | ||||||||||||
| In ISI Web of Science: | No | ||||||||||||
| Status: | Published | ||||||||||||
| Keywords: | Flash storage, IO tuning, workflows | ||||||||||||
| Event Title: | FAST '21 Work-in-Progress Reports (WiPs) | ||||||||||||
| Event Location: | United States of America | ||||||||||||
| Event Type: | international Conference | ||||||||||||
| Event Dates: | 23-25 Feb 2021 | ||||||||||||
| Organizer: | USENIX | ||||||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||
| HGF - Program: | Space | ||||||||||||
| HGF - Program Themes: | other | ||||||||||||
| DLR - Research area: | Raumfahrt | ||||||||||||
| DLR - Program: | R - no assignment | ||||||||||||
| DLR - Research theme (Project): | R - no assignment | ||||||||||||
| Location: | Jena | ||||||||||||
| Institutes and Institutions: | Institute of Data Science > Datamangagement and Analysis | ||||||||||||
| Deposited By: | Nurgaliev, Azat | ||||||||||||
| Deposited On: | 22 Nov 2021 18:41 | ||||||||||||
| Last Modified: | 22 Nov 2021 18:41 |
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