JuliaQCD: Portable lattice QCD package in Julia language

TL;DR

JuliaQCD is a portable, high-performance lattice QCD software package written in Julia, enabling efficient simulations of non-Abelian gauge theories with machine learning integration and scalable parallel computing.

Contribution

It introduces a new Julia-based lattice QCD code that combines high performance, flexibility, and scalability, supporting advanced algorithms and machine learning integration.

Findings

Supports Hybrid Monte Carlo algorithm

Runs efficiently on multiple platforms

Enables rapid prototyping of lattice QCD algorithms

Abstract

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.