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Running HMC Simulation with Python via QUDA

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arxiv 2212.06657 v1 pith:7QUXYIIT submitted 2022-12-13 hep-lat

Shuhei Yamamoto , Simone Bacchio , Jacob Finenrath This is my paper · ORCID
classification hep-lat
keywords pythonqudalatticeinterfaceprogrammingsimulationuservarious
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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.

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  1. Use QUDA for lattice QCD calculation with Python

    hep-lat 2024-11 conditional novelty 5.0 of 10

    PyQUDA is a new Python wrapper that lets lattice QCD researchers call QUDA's GPU routines directly from Python.

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