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

arXiv:2606.30633 · astro-ph.CO, astro-ph.GA · Submitted 2026-06-29 · Read on arXiv

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

astro-ph.CO, astro-ph.GA

Submitted: 2026-06-29

Comments: 21 pages, 8 figures, and 3 tables

Code: https://github.com/oogle/jax

License: http://creativecommons.org/licenses/by/4.0/

The gist: 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.

Terminology

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.

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