Breaking Boundaries: Distributed Domain Decomposition with Scalable
Physics-Informed Neural PDE Solvers

Breaking Boundaries: Distributed Domain Decomposition with Scalable Physics-Informed Neural PDE Solvers

28 August 2023

Ramin Bostanabad

Aparna Chandramowlishwaran

Papers citing "Breaking Boundaries: Distributed Domain Decomposition with Scalable Physics-Informed Neural PDE Solvers"

7 / 7 papers shown

Title
BubbleML: A Multi-Physics Dataset and Benchmarks for Machine Learning Sheikh Md Shakeel Hassan Arthur Feeney A. Dhruv Jih-Woon Kim Youngjoon Suh Jaiyoung Ryu Y. Won Aparna Chandramowlishwaran AI4CE 45 11 0 27 Jul 2023
MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems S. Farrell M. Emani J. Balma L. Drescher Aleksandr Drozd ... Akihiro Tabuchi V. Vishwanath Mohamed Wahib Masafumi Yamazaki Junqi Yin VLM 42 35 0 21 Oct 2021
Parallel Physics-Informed Neural Networks via Domain Decomposition K. Shukla Ameya Dilip Jagtap George Karniadakis PINN 135 280 0 20 Apr 2021
Learning the solution operator of parametric partial differential equations with physics-informed DeepOnets Sizhuang He Hanwen Wang P. Perdikaris AI4CE 71 685 0 19 Mar 2021
When and why PINNs fail to train: A neural tangent kernel perspective Sizhuang He Xinling Yu P. Perdikaris 101 896 0 28 Jul 2020
D3M: A deep domain decomposition method for partial differential equations Ke Li Keju Tang Tianfan Wu Qifeng Liao AI4CE 44 114 0 24 Sep 2019
Large Batch Optimization for Deep Learning: Training BERT in 76 minutes Yang You Jing Li Sashank J. Reddi Jonathan Hseu Sanjiv Kumar Srinadh Bhojanapalli Xiaodan Song J. Demmel Kurt Keutzer Cho-Jui Hsieh ODL 163 991 0 01 Apr 2019