JuliaCon 2025

JuliaQCD: Portable lattice QCD package in Julia language
2025-07-23 , Main Room 5

JuliaQCD is a versatile tool for lattice Quantum Chromodynamics (QCD), a key framework in particle physics for studying the strong force that binds quarks and gluons. Designed for seamless scalability, it runs efficiently on CPU/GPU systems from laptops to supercomputers (e.g. Fugaku). By implementing standard algorithms like Hybrid Monte Carlo (HMC) with a focus on rapid and efficient research, JuliaQCD enables scientists to explore fundamental physics with unprecedented flexibility and speed.


JuliaQCD is a new code suite for lattice gauge theory, designed to tackle the computationally demanding problems of four-dimensional QCD and other non-Abelian gauge theories. Lattice QCD is a challenging high-performance computing (HPC) problem, requiring efficient algorithms and scalable implementations to handle large-scale simulations. JuliaQCD leverages LLVM for high-performance execution, integrates MPI for parallel computations, and utilizes Julia’s multiple dispatch for intuitive and flexible development. In addition, the latest release includes GPU acceleration through Julia’s GPU ecosystem, enabling even higher performance on modern heterogeneous HPC systems. The code suite features Hybrid Monte Carlo (HMC), support for various color and flavor extensions, lattice fermions, advanced smearing techniques, and full QCD simulations. With its focus on scalability—from laptops to supercomputers—JuliaQCD provides researchers with a powerful tool for rapid prototyping and deployment of state-of-the-art lattice gauge theory algorithms.

Akio Tomiya is a Full-Time Lecturer in the Department of Mathematical Sciences, Major in Information Mathematics, Faculty of Contemporary Liberal Arts at Tokyo Woman’s Christian University. Born in Takarazuka, Hyogo Prefecture in 1987, he received a BSc from the University of Hyogo in 2010, followed by an MSc (2012) and PhD (2015) in Physics from Osaka University. He has served as a Postdoctoral Researcher at Central China Normal University, and an SPDR Postdoctoral Researcher at the RIKEN BNL Research Center. From 2021 to 2024, he was a Tenured Assistant Professor at Osaka International Professional University of Technology in Osaka. His research focuses on lattice gauge theory, machine learning, and quantum computing. He is a recipient of the 29th Physical Society of Japan Paper Award (2024) and the 14th Particle Physics Medal Award for young researcher (2019). Further details are available on his website:
https://www2.yukawa.kyoto-u.ac.jp/~akio.tomiya/aboutme.html.

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