English

Solving the Bethe-Salpeter equation on massively parallel architectures

Computational Engineering, Finance, and Science 2021-07-28 v1 Distributed, Parallel, and Cluster Computing Computational Physics

Abstract

The last ten years have witnessed fast spreading of massively parallel computing clusters, from leading supercomputing facilities down to the average university computing center. Many companies in the private sector have undergone a similar evolution. In this scenario, the seamless integration of software and middleware libraries is a key ingredient to ensure portability of scientific codes and guarantees them an extended lifetime. In this work, we describe the integration of the ChASE library, a modern parallel eigensolver, into an existing legacy code for the first-principles computation of optical properties of materials via solution of the Bethe-Salpeter equation for the optical polarization function. Our numerical tests show that, as a result of integrating ChASE and parallelizing the reading routine, the code experiences a remarkable speedup and greatly improved scaling behavior on both multi- and many-core architectures. We demonstrate that such a modernized BSE code will, by fully exploiting parallel computing architectures and file systems, enable domain scientists to accurately study complex material systems that were not accessible before.

Keywords

Cite

@article{arxiv.2006.08498,
  title  = {Solving the Bethe-Salpeter equation on massively parallel architectures},
  author = {Xiao Zhang and Sebastian Achilles and Jan Winkelmann and Roland Haas and André Schleife and Edoardo Di Napoli},
  journal= {arXiv preprint arXiv:2006.08498},
  year   = {2021}
}

Comments

17 Pages plus 7 pages of supplemental information, 6 figures and 3 tables. To be submitted to Computer Physics Communications

R2 v1 2026-06-23T16:20:27.346Z