GIGA-Lens 2.0: Strong-Lens Modeling on Multiple GPU Nodes

Xiaosheng Huang; Linus Upson; Nicolas Ratier-Werbin; Harry Lu; Sean Xu; Elden Yap; Evan Odell; Ansel Parke; Harsh Ambardekar; Saul Baltasar; Nestor Demeure; Bradley Richardson; Andi Gu; Yuan-Ming Hsu; Junyi Liu

GIGA-Lens 2.0: Strong-Lens Modeling on Multiple GPU Nodes

Cosmology and Nongalactic Astrophysics 2026-06-29 v1 Astrophysics of Galaxies

Authors: Xiaosheng Huang , Linus Upson , Nicolas Ratier-Werbin , Harry Lu , Sean Xu , Elden Yap , Evan Odell , Ansel Parke , Harsh Ambardekar , Saul Baltasar , Nestor Demeure , Bradley Richardson , Andi Gu , Yuan-Ming Hsu , Junyi Liu

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Abstract

We present GIGA-Lens 2.0: a major upgrade to the GPU-accelerated Bayesian framework for modeling strong lensing systems that allows it to be run across multiple GPU nodes. We have succeeded in running GIGA-Lens 2.0 on 128 nodes or 512 A100 GPUs. We demonstrate the speed benefits of this new version, and apply them to modeling 100 simulated systems and a real system, DESI J238.5690+04.7276. We also present other changes to the framework that have yielded further improvement on performance.

Cite

@article{arxiv.2606.30633,
  title  = {GIGA-Lens 2.0: Strong-Lens Modeling on Multiple GPU Nodes},
  author = {Xiaosheng Huang and Linus Upson and Nicolas Ratier-Werbin and Harry Lu and Sean Xu and Elden Yap and Evan Odell and Ansel Parke and Harsh Ambardekar and Saul Baltasar and Nestor Demeure and Bradley Richardson and Andi Gu and Yuan-Ming Hsu and Junyi Liu},
  journal= {arXiv preprint arXiv:2606.30633},
  year   = {2026}
}

Comments

21 pages, 8 figures, and 3 tables