DUNE, like other HEP experiments, faces a challenge related to matching execution patterns of our production simulation and data processing software to the limitations imposed by modern high-performance computing facilities. In order to efficiently exploit these new architectures, particularly those with high CPU core counts and GPU accelerators, our existing software execution models require adaptation. In addition, the large size of individual units of raw data from the far detector modules pose an additional challenge somewhat unique to DUNE. Here we describe some of these problems and how we begin to solve them today with existing software frameworks and toolkits. We also describe ways we may leverage these existing software architectures to attack remaining problems going forward. This whitepaper is a contribution to the Computational Frontier of Snowmass21.
@article{arxiv.2203.06104,
title = {DUNE Software and High Performance Computing},
author = {Bonnie Fleming and Kyle Knoepfel and Meifeng Lin and Xin Qian and Yihui Ren and Brett Viren and Hanyu Wei and Shinjae Yoo and Haiwang Yu},
journal= {arXiv preprint arXiv:2203.06104},
year = {2022}
}
Comments
This whitepaper is a contribution to the Computational Frontier of Snowmass21