Sampling-based Distributed Training with Message Passing Neural Network
Fuente:
arXiv
Saved in:
| Main Authors: | Kakka, Priyesh, Nidhan, Sheel, Ranade, Rishikesh, Pathak, Jay, MacArt, Jonathan F. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Neural network-augmented eddy viscosity closures for turbulent premixed jet flames
by: Kakka, Priyesh, et al.
Published: (2025)
by: Kakka, Priyesh, et al.
Published: (2025)
A GPU-ready pseudo-spectral method for direct numerical simulations of multiphase turbulence
by: Roccon, Alessio
Published: (2024)
by: Roccon, Alessio
Published: (2024)
MFC 5.0: An exascale many-physics flow solver
by: Wilfong, Benjamin, et al.
Published: (2025)
by: Wilfong, Benjamin, et al.
Published: (2025)
A domain decomposition-based autoregressive deep learning model for unsteady and nonlinear partial differential equations
by: Nidhan, Sheel, et al.
Published: (2024)
by: Nidhan, Sheel, et al.
Published: (2024)
Massive parallelization and performance enhancement of an immersed boundary method based unsteady flow solver
by: Sundar, Rahul, et al.
Published: (2024)
by: Sundar, Rahul, et al.
Published: (2024)
GPU-Accelerated Simulations of Problems with Moving Boundaries and Fluid-Structure Interaction at Extreme Scales
by: Kumar, Sushrut, et al.
Published: (2026)
by: Kumar, Sushrut, et al.
Published: (2026)
SPUMA: a minimally invasive approach to the GPU porting of OPENFOAM
by: Bnà, Simone, et al.
Published: (2025)
by: Bnà, Simone, et al.
Published: (2025)
A Comparison of Low and high-Order Methods for the Simulation of Supersonic Jet Flows
by: Abreu, D. F., et al.
Published: (2025)
by: Abreu, D. F., et al.
Published: (2025)
JAX-LaB: A High-Performance, Differentiable, Lattice Boltzmann Library for Modeling Multiphase Fluid Dynamics in Geosciences and Engineering
by: Pradhan, Piyush, et al.
Published: (2025)
by: Pradhan, Piyush, et al.
Published: (2025)
In Situ Data Summaries for Flexible Feature Analysis in Large-Scale Multiphase Flow Simulations
by: Dutta, Soumya, et al.
Published: (2022)
by: Dutta, Soumya, et al.
Published: (2022)
waLBerla-wind: a lattice-Boltzmann-based high-performance flow solver for wind energy applications
by: Schottenhamml, Helen, et al.
Published: (2023)
by: Schottenhamml, Helen, et al.
Published: (2023)
An efficient multi-GPU implementation for the Discontinuous Galerkin ocean model SLIM
by: Court, Miguel De Le, et al.
Published: (2026)
by: Court, Miguel De Le, et al.
Published: (2026)
Near Real-time Adaptive Isotropic and Anisotropic Image-to-mesh Conversion for Numerical Simulations Involving Cerebral Aneurysms
by: Garner, Kevin, et al.
Published: (2024)
by: Garner, Kevin, et al.
Published: (2024)
Oceananigans.jl: A Julia library that achieves breakthrough resolution, memory and energy efficiency in global ocean simulations
by: Silvestri, Simone, et al.
Published: (2023)
by: Silvestri, Simone, et al.
Published: (2023)
Enabling Message Passing Interface Containers on the LUMI Supercomputer
by: Lazzaro, Alfio
Published: (2024)
by: Lazzaro, Alfio
Published: (2024)
Equivalence and Separation between Heard-Of and Asynchronous Message-Passing Models
by: Attiya, Hagit, et al.
Published: (2025)
by: Attiya, Hagit, et al.
Published: (2025)
SCALE-TRACK: Asynchronous Euler-Lagrange particle tracking on heterogeneous computing architecture
by: Schmalfuß, Silvio, et al.
Published: (2026)
by: Schmalfuß, Silvio, et al.
Published: (2026)
Optimizing Distributed Training Approaches for Scaling Neural Networks
by: Baligodugula, Vishnu Vardhan, et al.
Published: (2025)
by: Baligodugula, Vishnu Vardhan, et al.
Published: (2025)
Heta: Distributed Training of Heterogeneous Graph Neural Networks
by: Zhong, Yuchen, et al.
Published: (2024)
by: Zhong, Yuchen, et al.
Published: (2024)
FastGraph: Optimized GPU-Enabled Algorithms for Fast Graph Building and Message Passing
by: Agarwal, Aarush, et al.
Published: (2025)
by: Agarwal, Aarush, et al.
Published: (2025)
RapidGNN: Communication Efficient Large-Scale Distributed Training of Graph Neural Networks
by: Niam, Arefin, et al.
Published: (2025)
by: Niam, Arefin, et al.
Published: (2025)
Distributed Matrix-Based Sampling for Graph Neural Network Training
by: Tripathy, Alok, et al.
Published: (2023)
by: Tripathy, Alok, et al.
Published: (2023)
Scalable Data Assimilation with Message Passing
by: Key, Oscar, et al.
Published: (2024)
by: Key, Oscar, et al.
Published: (2024)
Internal gravity waves in flow past a bluff body under different levels of stratification
by: Gola, Divyanshu, et al.
Published: (2024)
by: Gola, Divyanshu, et al.
Published: (2024)
MalleTrain: Deep Neural Network Training on Unfillable Supercomputer Nodes
by: Ma, Xiaolong, et al.
Published: (2024)
by: Ma, Xiaolong, et al.
Published: (2024)
Optimization of Second-Order Transport Models for Transition-Continuum Flows
by: Kryger, Mikolaj, et al.
Published: (2024)
by: Kryger, Mikolaj, et al.
Published: (2024)
SDT-GNN: Streaming-based Distributed Training Framework for Graph Neural Networks
by: Huang, Xin, et al.
Published: (2024)
by: Huang, Xin, et al.
Published: (2024)
Parallelization of Network Dynamics Computations in Heterogeneous Distributed Environment
by: Sudakov, Oleksandr, et al.
Published: (2024)
by: Sudakov, Oleksandr, et al.
Published: (2024)
Stable-MoE: Lyapunov-based Token Routing for Distributed Mixture-of-Experts Training over Edge Networks
by: Shi, Long, et al.
Published: (2025)
by: Shi, Long, et al.
Published: (2025)
Nezha: Breaking Multi-Rail Network Barriers for Distributed DNN Training
by: Yu, Enda, et al.
Published: (2024)
by: Yu, Enda, et al.
Published: (2024)
Fully Distributed Online Training of Graph Neural Networks in Networked Systems
by: Olshevskyi, Rostyslav, et al.
Published: (2024)
by: Olshevskyi, Rostyslav, et al.
Published: (2024)
Multi-Resolution Model Fusion for Accelerating the Convolutional Neural Network Training
by: Wang, Kewei, et al.
Published: (2025)
by: Wang, Kewei, et al.
Published: (2025)
Distributed Convolutional Neural Network Training on Mobile and Edge Clusters
by: Rama, Pranav, et al.
Published: (2024)
by: Rama, Pranav, et al.
Published: (2024)
A Distributed Consensus Algorithm for Prioritizing Autonomous Vehicle Passing at Unsignalized Intersections under Mixed Traffic
by: Lee, Younjeong, et al.
Published: (2025)
by: Lee, Younjeong, et al.
Published: (2025)
Embedded Distributed Inference of Deep Neural Networks: A Systematic Review
by: Peccia, Federico Nicolás, et al.
Published: (2024)
by: Peccia, Federico Nicolás, et al.
Published: (2024)
Active Control of Turbulent Airfoil Flows Using Adjoint-based Deep Learning
by: Liu, Xuemin, et al.
Published: (2025)
by: Liu, Xuemin, et al.
Published: (2025)
MPI-Q: A Message Communication Library for Large-Scale Classical-Quantum Heterogeneous Hybrid Distributed Computing
by: Wang, Feng, et al.
Published: (2026)
by: Wang, Feng, et al.
Published: (2026)
Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows
by: Dehtyriov, Daniel, et al.
Published: (2026)
by: Dehtyriov, Daniel, et al.
Published: (2026)
AcOrch: Accelerating Sampling-based GNN Training under CPU-NPU Heterogeneous Environments
by: Chen, Kefu, et al.
Published: (2026)
by: Chen, Kefu, et al.
Published: (2026)
Toward Optimality: A Tighter Analysis of Message Complexity for Leader Election in Diameter-Two Networks
by: Sadhukhan, Abhijit, et al.
Published: (2026)
by: Sadhukhan, Abhijit, et al.
Published: (2026)
Similar Items
-
Neural network-augmented eddy viscosity closures for turbulent premixed jet flames
by: Kakka, Priyesh, et al.
Published: (2025) -
A GPU-ready pseudo-spectral method for direct numerical simulations of multiphase turbulence
by: Roccon, Alessio
Published: (2024) -
MFC 5.0: An exascale many-physics flow solver
by: Wilfong, Benjamin, et al.
Published: (2025) -
A domain decomposition-based autoregressive deep learning model for unsteady and nonlinear partial differential equations
by: Nidhan, Sheel, et al.
Published: (2024) -
Massive parallelization and performance enhancement of an immersed boundary method based unsteady flow solver
by: Sundar, Rahul, et al.
Published: (2024)