MPI-Parallel Machine Learning Algorithms for the Analysis of High-Speed Video Data

Rüttgers, Alexander and Petrarolo, Anna and Knechtges, Philipp (2022) MPI-Parallel Machine Learning Algorithms for the Analysis of High-Speed Video Data. ECCOMAS Congress 2022, 5.-9. Juni 2022, Oslo, Norwegen.

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Item URL in elib:

https://elib.dlr.de/187065/

Document Type:

Conference or Workshop Item (Speech)

Title:

MPI-Parallel Machine Learning Algorithms for the Analysis of High-Speed Video Data

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD
Rüttgers, Alexander	Alexander.Ruettgers (at) dlr.de	https://orcid.org/0000-0001-6347-9272
Petrarolo, Anna	Anna.Petrarolo (at) dlr.de	https://orcid.org/0000-0002-2291-2874
Knechtges, Philipp	Philipp.Knechtges (at) dlr.de	https://orcid.org/0000-0002-4849-0593

Date:

2022

Refereed publication:

Yes

Open Access:

Yes

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

Status:

Published

Keywords:

Machine Learning, HPDA, Data Mining, Clustering, Anomaly Detection, HPC, MPI

Event Title:

ECCOMAS Congress 2022

Event Location:

Oslo, Norwegen

Event Type:

international Conference

Event Dates:

5.-9. Juni 2022

HGF - Research field:

Aeronautics, Space and Transport

HGF - Program:

Space

HGF - Program Themes:

Space System Technology

DLR - Research area:

Raumfahrt

DLR - Program:

R SY - Space System Technology

DLR - Research theme (Project):

R - Tasks SISTEC, R - Key technologies for high-energy return flights of the carrier stages (STORT)

Location:

Köln-Porz

Institutes and Institutions:

Institute for Software Technology > High-Performance Computing
Institute for Software Technology
Institute of Space Propulsion > Spacecraft and Orbital Propulsion

Deposited By:

Rüttgers, Dr. Alexander

Deposited On:

26 Jul 2022 15:36

Last Modified:

26 Jul 2022 15:36

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