Journal Article

FZJ-2023-02429

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Using heterogeneous GPU nodes with a Cabana-based implementation of MPCD

Halver, R. (Corresponding author)FZJ* ; Junghans, C. (Corresponding author) ; Sutmann, G. (Corresponding author)FZJ*

2023
North-Holland, Elsevier Science Amsterdam [u.a.]

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Please use a persistent id in citations: doi:10.1016/j.parco.2023.103033  doi:10.34734/FZJ-2023-02429

Abstract: The Kokkos based library Cabana, which has been developed in the Co-design Center for Particle Applications (CoPA), is used for the implementation of Multi-Particle Collision Dynamics (MPCD), a particle-based description of hydrodynamic interactions. Cabana allows for a function portable implementation, which has been used to study the interplay between CPU and GPU usage on a multi-node system as well as analysis of said interplay with performance analysis tools. As a result, we see most advantages in a homogeneous GPU usage, but we also discuss the extent to which heterogeneous applications might be more performant, using both CPU and GPU concurrently.

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Contributing Institute(s):

1. Jülich Supercomputing Center (JSC)

Research Program(s):

1. 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511) (POF4-511)

Appears in the scientific report 2023

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Database coverage:
; ; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; Ebsco Academic Search ; Essential Science Indicators ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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