Multi-GPU Approach for Training of Graph ML Models on large CFD Meshes

25 July 2023

Papers citing "Multi-GPU Approach for Training of Graph ML Models on large CFD Meshes"

6 / 6 papers shown

Title
Data-driven modeling of fluid flow around rotating structures with graph neural networks Rui Gao Zhi Cheng R. Jaiman AI4CE 44 0 0 28 Mar 2025
Sampling-based Distributed Training with Message Passing Neural Network P. Kakka Sheel Nidhan Rishikesh Ranade Jay Pathak J. MacArt GNN 75 3 0 20 Feb 2025
Scalable and Consistent Graph Neural Networks for Distributed Mesh-based Data-driven Modeling Shivam Barwey Riccardo Balin Bethany Lusch Saumil Patel Ramesh Balakrishnan Pinaki Pal R. Maulik V. Vishwanath GNN AI4CE 23 1 0 02 Oct 2024
SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases Yang Liu Jiashun Cheng Haihong Zhao Tingyang Xu P. Zhao Fugee Tsung Jia Li Yu Rong AI4CE 23 18 0 25 Aug 2023
In Situ Framework for Coupling Simulation and Machine Learning with Application to CFD R. Balin F. Simini Cooper Simpson Andrew Shao Alessandro Rigazzi M. Ellis Stephen Becker Alireza Doostan John A. Evans K. Jansen AI4CE 19 3 0 22 Jun 2023
Efficient Learning of Mesh-Based Physical Simulation with BSMS-GNN Yadi Cao Menglei Chai Minchen Li Chenfanfu Jiang AI4CE 18 18 0 05 Oct 2022