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Minisymposium Presentation

Porting Lattice QCD Simulations to Exascale Architectures: Opportunities and Challenges

Monday, June 3, 2024
13:00
-
13:30
CEST
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Presenter

Marina
Krstic Marinkovic
-
ETH Zurich

Marina Marinkovic is an assistant professor in computational physics at ETH Zurich, where she is leading a High Performance Computational Physics research group as of February 2021. While studying theoretical physics at the University of Belgrade, Marinkovic spent the final year of her undergraduate degree (2008-2009) at DESY Zeuthen and the University of Graz as a scholar of the Austrian agency for international mobility and cooperation in education, science and research. She obtained her PhD in the Computational Physics Group of Humboldt University in Berlin (2009-2013) and from there went on to a postdoctoral position at the University of Southampton (2012-2014). As an acknowledgment of her strong potential for independence and leadership in theoretical particle physics, Marinkovic was recognised by a prestigious CERN fellowship (2014-2017), followed by the Hitachi Assistant Professorship at Trinity College Dublin (2016-2019) and a junior professorship at LMU Münich (2020-2021). Besides her work on theoretical aspects of lattice gauge theories, Marinkovic has experience in porting and optimizing physics codes on IBM Blue Gene/P at Jülich Supercomputing Center, HLRN in Berlin and Hannover, HLRS in Stuttgart, Blue Gene Q in Edinburgh, Altamira in Spain, CSCS in Switzerland, TH cluster at CERN, Research IT facilities at TCD, Ireland and LRZ near Munich, Germany.

Description

In this talk, we explore the transition of lattice Quantum Chromodynamics (Lattice QCD) simulations to exascale computing architectures, highlighting the significant interdisciplinary opportunities and challenges inherent in this effort. Lattice QCD, a crucial tool for understanding the strong force within the Standard Model (SM) of particle physics, demands substantial computational resources at HPC centres worldwide. The era of exascale computing opens opportuneness to obtain predictions of the SM observables with greater accuracy and on larger volumes and finer lattices than currently possible. This advancement could lead to breakthroughs in understanding the properties of hadronic matter, the nature of the early universe, and the new physics beyond the SM. The talk will delve into the scalability and portability hurdles that must be overcome to fully leverage exascale capabilities, focusing on efficient usage of heterogeneous computing resources, including GPUs, and the opportunities for cross-disciplinary collaboration in software development and optimization.

Authors