Scalable and Consistent Graph Neural Networks for Distributed Mesh-based Data-driven Modeling
Fuente:
arXiv
Saved in:
| Main Authors: | Barwey, Shivam, Balin, Riccardo, Lusch, Bethany, Patel, Saumil, Balakrishnan, Ramesh, Pal, Pinaki, Maulik, Romit, Vishwanath, Venkatram |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Mesh-based Super-Resolution of Fluid Flows with Multiscale Graph Neural Networks
by: Barwey, Shivam, et al.
Published: (2024)
by: Barwey, Shivam, et al.
Published: (2024)
An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems
by: Shilpika, Shilpika, et al.
Published: (2025)
by: Shilpika, Shilpika, et al.
Published: (2025)
Understanding Large-Scale HPC System Behavior Through Cluster-Based Visual Analytics
by: Austin, Allison, et al.
Published: (2026)
by: Austin, Allison, et al.
Published: (2026)
CausalMesh: A Formally Verified Causally Consistent Distributed Cache with Support for Client Migration
by: Zhang, Haoran, et al.
Published: (2025)
by: Zhang, Haoran, et al.
Published: (2025)
In-Transit Data Transport Strategies for Coupled AI-Simulation Workflow Patterns
by: Tummalapalli, Harikrishna, et al.
Published: (2025)
by: Tummalapalli, Harikrishna, et al.
Published: (2025)
TraceMesh: Scalable and Streaming Sampling for Distributed Traces
by: Chen, Zhuangbin, et al.
Published: (2024)
by: Chen, Zhuangbin, et al.
Published: (2024)
Distributed Semi-Speculative Parallel Anisotropic Mesh Adaptation
by: Garner, Kevin, et al.
Published: (2026)
by: Garner, Kevin, et al.
Published: (2026)
Scalable Systems and Software Architectures for High-Performance Computing on cloud platforms
by: Ramesh, Risshab Srinivas
Published: (2024)
by: Ramesh, Risshab Srinivas
Published: (2024)
Pilotfish: Distributed Execution for Scalable Blockchains
by: Kniep, Quentin, et al.
Published: (2024)
by: Kniep, Quentin, et al.
Published: (2024)
A Framework for Consistency Models in Distributed Systems
by: Almeida, Paulo Sérgio
Published: (2024)
by: Almeida, Paulo Sérgio
Published: (2024)
Strongly-Consistent Distributed Discrete-event Systems
by: Donovan, Peter, et al.
Published: (2024)
by: Donovan, Peter, et al.
Published: (2024)
Near-Optimal Stability for Distributed Transaction Processing in Blockchain Sharding
by: Adhikari, Ramesh, et al.
Published: (2025)
by: Adhikari, Ramesh, et al.
Published: (2025)
AI-driven Predictive Shard Allocation for Scalable Next Generation Blockchains
by: Haider, M. Zeeshan, et al.
Published: (2025)
by: Haider, M. Zeeshan, et al.
Published: (2025)
OPTIMUM-DERAM: Highly Consistent, Scalable, and Secure Multi-Object Memory using RLNC
by: Nicolaou, Nicolas, et al.
Published: (2026)
by: Nicolaou, Nicolas, et al.
Published: (2026)
Towards Efficient and Scalable Distributed Vector Search with RDMA
by: Zhi, Xiangyu, et al.
Published: (2025)
by: Zhi, Xiangyu, et al.
Published: (2025)
TrustMesh: A Blockchain-Enabled Trusted Distributed Computing Framework for Open Heterogeneous IoT Environments
by: Rangwala, Murtaza, et al.
Published: (2024)
by: Rangwala, Murtaza, et al.
Published: (2024)
Ten Pillars for Data Meshes
by: Grossman, Robert L., et al.
Published: (2024)
by: Grossman, Robert L., et al.
Published: (2024)
Self-Evolving Distributed Memory Architecture for Scalable AI Systems
by: Li, Zixuan, et al.
Published: (2026)
by: Li, Zixuan, et al.
Published: (2026)
Distributed Renaming with Subquadratic Bits via Scalable Committee Election
by: Bai, Sirui, et al.
Published: (2026)
by: Bai, Sirui, et al.
Published: (2026)
Designing Dense Satellite Clusters for Distributed Space-based Datacenters
by: Pénot, Jules, et al.
Published: (2026)
by: Pénot, Jules, et al.
Published: (2026)
Unlocking massively parallel spectral proper orthogonal decompositions in the PySPOD package
by: Rogowski, Marcin, et al.
Published: (2023)
by: Rogowski, Marcin, et al.
Published: (2023)
Scalable Distributed Vector Search via Accuracy Preserving Index Construction
by: Xu, Yuming, et al.
Published: (2025)
by: Xu, Yuming, et al.
Published: (2025)
TD-Orch: Scalable Load-Balancing for Distributed Systems with Applications to Graph Processing
by: Zhao, Yiwei, et al.
Published: (2025)
by: Zhao, Yiwei, et al.
Published: (2025)
GreediRIS: Scalable Influence Maximization using Distributed Streaming Maximum Cover
by: Barik, Reet, et al.
Published: (2024)
by: Barik, Reet, et al.
Published: (2024)
sVIRGO: A Scalable Virtual Tree Hierarchical Framework for Distributed Systems
by: Huang, Lican
Published: (2026)
by: Huang, Lican
Published: (2026)
Scalable Readability Evaluation for Graph Layouts: 2D Geometric Distributed Algorithms
by: Yun, Sanggeon
Published: (2024)
by: Yun, Sanggeon
Published: (2024)
Cooperative Minibatching in Graph Neural Networks
by: Balin, Muhammed Fatih, et al.
Published: (2023)
by: Balin, Muhammed Fatih, et al.
Published: (2023)
A Unified, Practical, and Understandable Model of Non-transactional Consistency Levels in Distributed Replication
by: Hu, Guanzhou, et al.
Published: (2024)
by: Hu, Guanzhou, et al.
Published: (2024)
A Study on the Performance of Distributed Training of Data-driven CFD Simulations
by: Iserte, Sergio, et al.
Published: (2026)
by: Iserte, Sergio, et al.
Published: (2026)
BlockRaFT: A Distributed Framework for Fault-Tolerant and Scalable Blockchain Nodes
by: Piduguralla, Manaswini, et al.
Published: (2026)
by: Piduguralla, Manaswini, et al.
Published: (2026)
DRPC: Distributed Reinforcement Learning Approach for Scalable Resource Provisioning in Container-based Clusters
by: Bai, Haoyu, et al.
Published: (2024)
by: Bai, Haoyu, et al.
Published: (2024)
PRISM: Probabilistic Runtime Insights and Scalable Performance Modeling for Large-Scale Distributed Training
by: Golden, Alicia, et al.
Published: (2025)
by: Golden, Alicia, et al.
Published: (2025)
A Distributed Approach for Persistent Homology Computation on a Large Scale
by: Ceccaroni, Riccardo, et al.
Published: (2024)
by: Ceccaroni, Riccardo, et al.
Published: (2024)
Tasking framework for Adaptive Speculative Parallel Mesh Generation
by: Tsolakis, Christos, et al.
Published: (2024)
by: Tsolakis, Christos, et al.
Published: (2024)
DistFlow: A Fully Distributed RL Framework for Scalable and Efficient LLM Post-Training
by: Wang, Zhixin, et al.
Published: (2025)
by: Wang, Zhixin, et al.
Published: (2025)
Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda
by: Xu, Minxian, et al.
Published: (2026)
by: Xu, Minxian, et al.
Published: (2026)
SDSL-Solver: Scalable Distributed Sparse Linear Solvers for Large-Scale Interior Point Methods
by: Yang, Shaofeng, et al.
Published: (2026)
by: Yang, Shaofeng, et al.
Published: (2026)
FlowMoE: A Scalable Pipeline Scheduling Framework for Distributed Mixture-of-Experts Training
by: Gao, Yunqi, et al.
Published: (2025)
by: Gao, Yunqi, et al.
Published: (2025)
FlowMesh: A Service Fabric for Composable LLM Workflows
by: Shen, Junyi, et al.
Published: (2025)
by: Shen, Junyi, et al.
Published: (2025)
BigSUMO: A Scalable Framework for Big Data Traffic Analytics and Parallel Simulation
by: Sengupta, Rahul, et al.
Published: (2026)
by: Sengupta, Rahul, et al.
Published: (2026)
Similar Items
-
Mesh-based Super-Resolution of Fluid Flows with Multiscale Graph Neural Networks
by: Barwey, Shivam, et al.
Published: (2024) -
An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems
by: Shilpika, Shilpika, et al.
Published: (2025) -
Understanding Large-Scale HPC System Behavior Through Cluster-Based Visual Analytics
by: Austin, Allison, et al.
Published: (2026) -
CausalMesh: A Formally Verified Causally Consistent Distributed Cache with Support for Client Migration
by: Zhang, Haoran, et al.
Published: (2025) -
In-Transit Data Transport Strategies for Coupled AI-Simulation Workflow Patterns
by: Tummalapalli, Harikrishna, et al.
Published: (2025)