Running HMC Simulation with Python via QUDA

TL;DR

This paper introduces Lyncs-QUDA, a Python interface enabling users to perform Hybrid Monte Carlo (HMC) simulations with QUDA for lattice QCD, simplifying programming while maintaining performance across platforms.

Contribution

It presents a new Python API, Lyncs-QUDA, that facilitates easy and efficient HMC simulations using QUDA in lattice QCD applications.

Findings

Demonstrates how to perform HMC simulations with Python and QUDA.

Provides a tutorial for using Lyncs-QUDA interface.

Shows compatibility across multiple platforms.

Abstract

Lyncs-API is a Python API for Lattice QCD applications. It is designed as a Python toolkit that allows the user to use and run various lattice QCD libraries while programming in Python. The goal is to provide the user an easy programming experience without scarifying performance across multiple platforms, by preparing a common framework for various softwares for lattice QCD calculations. As such, it contains interfaces to, e.g., c-lime, DDalphaAMG, tmLQCD, and QUDA. In this proceeding, we focus on a Lyncs interface to QUDA, named Lyncs-QUDA, and present a small tutorial on how to use this Python interface to perform a HMC simulation using QUDA.