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UID:submissions.supercomputing.org_SC25_sess533_post217@linklings.com
SUMMARY:A Toolbox for Load Balancing Development and Analysis in WarpX/AMR
 eX Applications
DESCRIPTION:Jessica Imlau Dagostini (University of California, Santa Cruz)
 ; Sowmya Yellapragada (University of Utah); and Kevin Gott and Rebecca Har
 tman-Baker (Lawrence Berkeley National Laboratory (LBNL))\n\nEfficient loa
 d balancing is critical for the scalability of distributed scientific appl
 ications. However, there are several challenges for applications to test n
 ew balancing strategies, including the need for an easy workflow to valida
 te different algorithms. This work aims to tackle this particular challeng
 e by presenting a toolbox designed to streamline the collection and analys
 is of load balancing data from WarpX, an advanced, fully kinetic particle-
 in-cell (PIC) code, based on the AMReX framework. Our toolbox simplifies t
 he extraction of data from WarpX and enables developers to conduct statist
 ical load balancing inferences over real data efficiently. We demonstrate 
 such applicability by conducting a study with a laser-ion acceleration sim
 ulation: we collect simulation data and compare six different load balanci
 ng approaches, two in-production algorithms, and four under investigation 
 for future use.\n\nTag: Research & ACM SRC Posters\n\nRegistration Categor
 y: Technical Program Reg Pass\n\nSession Chairs: Kento Sato (RIKEN Center 
 for Computational Science (R-CCS)); Chris Schlipalius (Pawsey Supercomputi
 ng Research Centre; Commonwealth Scientific and Industrial Research Organi
 sation (CSIRO), Australia); and Anja Gerbes (Georg-August-Universität Gött
 ingen)\n\n
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