Partial wave analysis at BES III harnessing the power of GPUs

TL;DR

This paper presents a GPU-accelerated framework for partial wave analysis in hadron spectroscopy, significantly improving computational efficiency using OpenCL on high-statistics data from BES III.

Contribution

The paper introduces a novel GPU-based implementation of partial wave analysis, leveraging OpenCL to enhance performance on large datasets in hadron spectroscopy.

Findings

Achieved substantial speedup in partial wave analysis computations

Successfully implemented the framework on GPUs using OpenCL

Demonstrated feasibility for high-statistics data analysis

Abstract

Partial wave analysis is a core tool in hadron spectroscopy. With the high statistics data available at facilities such as the Beijing Spectrometer III, this procedure becomes computationally very expensive. We have successfully implemented a framework for performing partial wave analysis on graphics processors. We discuss the implementation, the parallel computing frameworks employed and the performance achieved, with a focus on the recent transition to the OpenCL framework.