Software

FZJ-2023-05376

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png ChASE-library/ChASE: ChASE (v1.4.0)

Wu, X.FZJ* ; Di Napoli, E. (Corresponding author)FZJ*

2023

This record in other databases:

Please use a persistent id in citations: doi:10.5281/ZENODO.8220811

Abstract: Introduced a new distributed GPU-build of ChASE entirely based on the NVIDIA NCCL library, which avoids the explicit data movement between host and device memory, and leads to much faster collective communications among the involved GPUs. This new release achieves between a 1.5x and 3x with respect to the traditional distributed multi-GPUs build. Now ChASE can be compiled and executed with the following distinct parallel configurations: Distributed CPU only Distributed multi-GPUs (traditionally based on host-device communication standards) Distributed multi-GPUs (using NVIDIA NCCL library)

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Contributing Institute(s):

1. Jülich Supercomputing Center (JSC)
2. Center for Advanced Simulation and Analytics (CASA)

Research Program(s):

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

Appears in the scientific report 2023

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