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JuliaQCD: Portable lattice QCD package in Julia language
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We develop a new lattice gauge theory code set JuliaQCD using the Julia language. Julia is well-suited for integrating machine learning techniques and enables rapid prototyping and execution of algorithms for four dimensional QCD and other non-Abelian gauge theories. The code leverages LLVM for high-performance execution and supports MPI for parallel computations. Julia's multiple dispatch provides a flexible and intuitive framework for development. The code implements existing algorithms such as Hybrid Monte Carlo (HMC), many color and flavor, supports lattice fermions, smearing techniques, and full QCD simulations. It is designed to run efficiently across various platforms, from laptops to supercomputers, allowing for seamless scalability. The code set is currently available on GitHub https://github.com/JuliaQCD.
Forward citations
Cited by 1 Pith paper
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A Machine Learning Approach for Lattice Gauge Fixing
A Wilson-line-bundle CNN generates approximate Coulomb-gauge transformations that, combined with iterative gauge fixing, reduce lattice-gauge-fixing cost by ~1–4% and transfer across lattice volumes.
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