Journal Article

PUBDB-2024-07532

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png AMReX and pyAMReX: Looking beyond the exascale computing project

Myers, A. (Corresponding author) ; Zhang, W. ; Almgren, A. ; Antoun, T. ; Bell, J. ; Huebl, A. ; Sinn, A.DESY*

2024
Sage Science Press Thousand Oaks, Calif.

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Please use a persistent id in citations: doi:10.1177/10943420241271017

Report No.: arXiv:2403.12179

Abstract: AMReX is a software framework for the development of block-structured mesh applications with adaptive mesh refinement (AMR). AMReX was initially developed and supported by the AMReX Co-Design Center as part of the U.S. DOE Exascale Computing Project (ECP), and is continuing to grow post-ECP. In addition to adding new functionality and performance improvements to the core AMReX framework, we have also developed a Python binding, pyAMReX, that provides a bridge between AMReX-based application codes and the data science ecosystem. pyAMReX provides zero-copy application GPU data access for AI/ML, in situ analysis and application coupling, and enables rapid, massively parallel prototyping. In this paper we review the overall functionality of AMReX and pyAMReX, focusing on new developments, new functionality, and optimizations of key operations. We also summarize capabilities of ECP projects that used AMReX and provide an overview of new, non-ECP applications.

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Contributing Institute(s):

1. Plasma Theory and Simulations (MPA1)

Research Program(s):

1. 621 - Accelerator Research and Development (POF4-621) (POF4-621)

Experiment(s):

1. No specific instrument

Appears in the scientific report 2024

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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 ; National-Konsortium ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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