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| Contribution to a conference proceedings/Contribution to a book | FZJ-2025-05588 |
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2025
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Please use a persistent id in citations: doi:10.22323/1.466.0280 doi:10.34734/FZJ-2025-05588
Abstract: Markov Chain Monte Carlo simulations of lattice Quantum Chromodynamics (QCD) are the onlyknown tool to investigate non-perturbatively the theory of the strong interaction and are requiredto perform precision tests of the Standard Model of Particle Physics. As the Markov Chain isa serial process, the sole option for improving the sampling rate is accelerating each individualupdate step. Heterogeneous clusters of GPU-accelerated nodes offer large total memory bandwidthwhich can be used to speed-up our application, openQxD-1.1, which is dominated by inversionsof the Dirac operator, a large sparse matrix. In this work we investigate offloading the inversionto GPU using the lattice-QCD library QUDA, and our early results demonstrate a significantpotential speed-up in the time-to-solution for state-of-the-art problem sizes. Minimal extensionsto the existing QUDA library are required for our specific physics programme while greatlyenhancing the performance portability of our code and retaining the reliability and robustness ofexisting applications in openQxD-1.1. Our new interface will enable us to utilize pre-exascaleinfrastructure and reduce the systematic uncertainty in our physics predictions by incorporatingthe effects of quantum electromagnetism (QED) in our simulations.
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