ESAPCA: Enabling the Analysis of Extremely Large Data Sets by Scalable and Hardware-Accelerated PCA and DMD

Hoppe, Fabian and Knechtges, Philipp and Rüttgers, Alexander (2025) ESAPCA: Enabling the Analysis of Extremely Large Data Sets by Scalable and Hardware-Accelerated PCA and DMD. In: ISC High Performance. ISC High Performance 2025, 2025-06-10 - 2025-06-13, Hamburg, Deutschland.

PDF
989kB

Item URL in elib:

https://elib.dlr.de/216276/

Document Type:

Conference or Workshop Item (Poster)

Title:

ESAPCA: Enabling the Analysis of Extremely Large Data Sets by Scalable and Hardware-Accelerated PCA and DMD

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Hoppe, Fabian	fabian.hoppe (at) dlr.de	https://orcid.org/0000-0002-4501-6829	198507833
Knechtges, Philipp	Philipp.Knechtges (at) dlr.de	https://orcid.org/0000-0002-4849-0593	198507834
Rüttgers, Alexander	Alexander.Ruettgers (at) dlr.de	https://orcid.org/0000-0001-6347-9272	UNSPECIFIED

Date:

June 2025

Journal or Publication Title:

ISC High Performance

Refereed publication:

Yes

Open Access:

Yes

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

Status:

Published

Keywords:

Event Title:

ISC High Performance 2025

Event Location:

Hamburg, Deutschland

Event Type:

international Conference

Event Start Date:

10 June 2025

Event End Date:

13 June 2025

HGF - Research field:

Aeronautics, Space and Transport

HGF - Program:

Space

HGF - Program Themes:

Earth Observation

DLR - Research area:

Raumfahrt

DLR - Program:

R EO - Earth Observation

DLR - Research theme (Project):

R - HPDA use, R - HPDA basic software, R - CERES | Computing efficiency and resilience for space software

Location:

Köln-Porz

Institutes and Institutions:

Institute of Software Technology > High-Performance Computing

Deposited By:

Hoppe, Fabian

Deposited On:

02 Dec 2025 09:04

Last Modified:

02 Dec 2025 09:04

Repository Staff Only: item control page