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:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Nurgaliev, Azat	Azat.Nurgaliev (at) dlr.de	https://orcid.org/0000-0002-4234-9169	UNSPECIFIED
Paradies, Marcus	Marcus.Paradies (at) dlr.de	https://orcid.org/0000-0002-5743-6580	UNSPECIFIED

Date:

February 2021

Refereed publication:

Yes

Open Access:

Yes

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

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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