GPU Accelleration Towards Exascale

Staffelbach, Gabriel and Wagner, Michael and Mira, Daniel and Peplinski, Adam (2022) GPU Accelleration Towards Exascale. EXCELLERAT: Enabling Exascale Potentials for Engineering Applications, 2022-05-16 - 2022-05-17, virtual.

Full text not available from this repository.

Item URL in elib:

https://elib.dlr.de/186472/

Document Type:

Conference or Workshop Item (Speech)

Title:

GPU Accelleration Towards Exascale

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Staffelbach, Gabriel	CERFACS, Toulouse, France	UNSPECIFIED	UNSPECIFIED
Wagner, Michael	UNSPECIFIED	https://orcid.org/0000-0002-5767-1716	UNSPECIFIED
Mira, Daniel	Barcelona Supercomputing Center (BSC), Spain	UNSPECIFIED	UNSPECIFIED
Peplinski, Adam	KTH Royal Institute of Technology, Stockholm, Sweden	UNSPECIFIED	UNSPECIFIED

Date:

17 May 2022

Refereed publication:

Open Access:

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

Status:

Published

Keywords:

Computational Fluid Dynamics, Aerospace, High Performance Computing, GPU

Event Title:

EXCELLERAT: Enabling Exascale Potentials for Engineering Applications

Event Location:

virtual

Event Type:

international Conference

Event Start Date:

16 May 2022

Event End Date:

17 May 2022

HGF - Research field:

Aeronautics, Space and Transport

HGF - Program:

Aeronautics

HGF - Program Themes:

Efficient Vehicle

DLR - Research area:

Aeronautics

DLR - Program:

L EV - Efficient Vehicle

DLR - Research theme (Project):

L - Virtual Aircraft and Validation

Location:

Dresden

Institutes and Institutions:

Institute of Software Methods for Product Virtualization > High Perfomance Computing

Deposited By:

Wagner, Dr. Michael

Deposited On:

23 May 2022 13:30

Last Modified:

24 Apr 2024 20:47

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