A QUDA-branch to compute disconnected diagrams in GPUs

TL;DR

This paper introduces a new branch of the QUDA library optimized for GPUs to efficiently compute disconnected diagrams in quantum chromodynamics, addressing a notable gap in existing tools.

Contribution

The authors develop a specialized QUDA branch with new kernels and functions for calculating fermion loops, enhancing GPU-based QCD computations.

Findings

Enables efficient GPU computation of disconnected diagrams.

Provides new kernels and functions for fermion loop calculations.

Fills a gap in existing QUDA capabilities.

Abstract

Although QUDA allows for an efficient computation of many QCD quantities, it is surprinsingly lacking tools to evaluate disconnected diagrams, for which GPUs are specially well suited. We aim to fill this gap by creating our own branch of QUDA, which includes new kernels and functions required to calculate fermion loops using several methods and fermionic regularizations.