Towards Lattice QCD+QED Simulations on GPUs
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Date
2023-06
Publication Type
Conference Paper
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Abstract
Improving the precision in particle physics predictions obtained from lattice simulations of quantum chromodynamics (QCD) requires extension of the interactions considered thus far, leading to additional computational demands. Most commonly used publicly available program packages for efficient simulations of Wilson discretization of the Dirac operator are highly scalable on CPU hardware. In order to be able to run efficiently on existing and upcoming hybrid architectures, one needs to rethink the current strategy for data types used at different stages of the simulation, most notably in frequent solves of the Dirac equation. We perform the first steps towards porting on GPUs of the three type of solvers used in the simulations of clover improved Wilson fermions: Conjugate Gradient, Schwarz preconditioned GCR solver, and a variant of the deflated solver. The analysis of the reduced precision data types' impact on the convergence of each solver indicates several possibilities for overall performance improvement.
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published
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Book title
PASC '23: Proceedings of the Platform for Advanced Scientific Computing Conference
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Pages / Article No.
7
Publisher
Association for Computing Machinery
Event
Platform for Advanced Scientific Computing Conference (PASC 2023)
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Subject
Lattice QCD; Wilson fermions; GPU; Preconditioning; Conjugate gradient; Schwarz alternating procedure; Inexact deflation
Organisational unit
09738 - Krstic Marinkovic, Marina / Krstic Marinkovic, Marina
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