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Automated I/O Parameter Tuning of Scientific Applications with Parametrizable Workload Replays

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), 2021-02-23 - 2021-02-25, 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/
Document Type:Conference or Workshop Item (Speech)
Title:Automated I/O Parameter Tuning of Scientific Applications with Parametrizable Workload Replays
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Nurgaliev, AzatUNSPECIFIEDhttps://orcid.org/0000-0002-4234-9169UNSPECIFIED
Paradies, MarcusUNSPECIFIEDhttps://orcid.org/0000-0002-5743-6580UNSPECIFIED
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 Start Date:23 February 2021
Event End Date:25 February 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:24 Apr 2024 20:44

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