Imagen de Portada

Deep Learning-Enabled Supercritical Flame Simulation at Detailed Chemistry and Real-Fluid Accuracy Towards Trillion-Cell Scale

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Guo, Zhuoqiang, Mao, Runze, Liu, Lijun, Tan, Guangming, Jia, Weile, Chen, Zhi X.
Formato:	Preprint
Publicado:	2025
Materias:	Distributed, Parallel, and Cluster Computing
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Large Scale Finite-Temperature Real-time Time Dependent Density Functional Theory Calculation with Hybrid Functional on ARM and GPU Systems
por: Liu, Rongrong, et al.
Publicado: (2025)

Large-scale Neural Network Quantum States for ab initio Quantum Chemistry Simulations on Fugaku
por: Xu, Hongtao, et al.
Publicado: (2025)

Scaling Molecular Dynamics with ab initio Accuracy to 149 Nanoseconds per Day
por: Li, Jianxiong, et al.
Publicado: (2024)

JanusPipe: Efficient Pipeline Parallel Training for Machine Learning Interatomic Potentials
por: Wang, Hongyu, et al.
Publicado: (2026)

FastCHGNet: Training one Universal Interatomic Potential to 1.5 Hours with 32 GPUs
por: Zhou, Yuanchang, et al.
Publicado: (2024)

Breaking the Training Barrier of Billion-Parameter Universal Machine Learning Interatomic Potentials
por: Zhou, Yuanchang, et al.
Publicado: (2026)

SDSL-Solver: Scalable Distributed Sparse Linear Solvers for Large-Scale Interior Point Methods
por: Yang, Shaofeng, et al.
Publicado: (2026)

Overcoming Memory Constraints in Quantum Circuit Simulation with a High-Fidelity Compression Framework
por: Zhang, Boyuan, et al.
Publicado: (2024)

Large-Scale Simulations of Fully Resolved Complex Moving Geometries with Partially Saturated Cells
por: Suffa, P., et al.
Publicado: (2025)

TOD: Transprecise Object Detection to Maximise Real-Time Accuracy on the Edge
por: Lee, JunKyu, et al.
Publicado: (2021)

KIS-S: A GPU-Aware Kubernetes Inference Simulator with RL-Based Auto-Scaling
por: Zhang, Guilin, et al.
Publicado: (2025)

Experimental Evaluation of Distributed k-Core Decomposition
por: Guo, Bin, et al.
Publicado: (2024)

Loki: A System for Serving ML Inference Pipelines with Hardware and Accuracy Scaling
por: Ahmad, Sohaib, et al.
Publicado: (2024)

λScale: Enabling Fast Scaling for Serverless Large Language Model Inference
por: Yu, Minchen, et al.
Publicado: (2025)

Model Input Verification of Large Scale Simulations
por: Neykova, Rumyana, et al.
Publicado: (2024)

TSUE: A Two-Stage Data Update Method for an Erasure Coded Cluster File System
por: Wei, Zheng, et al.
Publicado: (2025)

Hierarchical Observe-Orient-Decide-Act Enabled UAV Swarms in Uncertain Environments: Frameworks, Potentials, and Challenges
por: Jia, Ziye, et al.
Publicado: (2026)

Scaling Real-Time Traffic Analytics on Edge-Cloud Fabrics for City-Scale Camera Networks
por: Sharma, Akash, et al.
Publicado: (2026)

Modernizing an Operational Real-time Tsunami Simulator to Support Diverse Hardware Platforms
por: Takahashi, Keichi, et al.
Publicado: (2024)

SPARS: A Reinforcement Learning-Enabled Simulator for Power Management in HPC Job Scheduling
por: Amrizal, Muhammad Alfian, et al.
Publicado: (2025)

DeepServe: Serverless Large Language Model Serving at Scale
por: Hu, Junhao, et al.
Publicado: (2025)

Enabling Efficient Batch Serving for LMaaS via Generation Length Prediction
por: Cheng, Ke, et al.
Publicado: (2024)

A Real-Time, Auto-Regression Method for In-Situ Feature Extraction in Hydrodynamics Simulations
por: Yan, Kewei, et al.
Publicado: (2025)

Understanding Power and Energy Utilization in Large Scale Production Physics Simulation Codes
por: Bertsch, Adam, et al.
Publicado: (2022)

Pandemics In Silico: Scaling an Agent-Based Simulation on Realistic Social Contact Networks
por: Kitson, Joy, et al.
Publicado: (2024)

Scale: Deep Reinforcement Learning for Container Scheduling in Serverless Edge Computing
por: Chen, Chen, et al.
Publicado: (2026)

SWIFT: Expedited Failure Recovery for Large-scale DNN Training
por: Zhong, Yuchen, et al.
Publicado: (2023)

Matrix-PIC: Harnessing Matrix Outer-product for High-Performance Particle-in-Cell Simulations
por: Rao, Yizhuo, et al.
Publicado: (2026)

Optimizing High-Throughput Distributed Data Pipelines for Reproducible Deep Learning at Scale
por: Mittal, Kashish, et al.
Publicado: (2026)

Scaling on Frontier: Uncertainty Quantification Workflow Applications using ExaWorks to Enable Full System Utilization
por: Titov, Mikhail, et al.
Publicado: (2024)

Large Scale Multi-GPU Based Parallel Traffic Simulation for Accelerated Traffic Assignment and Propagation
por: Jiang, Xuan, et al.
Publicado: (2024)

DualMap: Enabling Both Cache Affinity and Load Balancing for Distributed LLM Serving
por: Yuan, Ying, et al.
Publicado: (2026)

Leveraging HPC Profiling & Tracing Tools to Understand the Performance of Particle-in-Cell Monte Carlo Simulations
por: Williams, Jeremy J., et al.
Publicado: (2023)

Scaling Neural-Network-Based Molecular Dynamics with Long-Range Electrostatic Interactions to 51 Nanoseconds per Day
por: Li, Jianxiong, et al.
Publicado: (2025)

Unfolding an Atomistic World: Atomistic Simulation of Reactor Pressure Vessel Steel Across Year-and-Meter Scales
por: Han, Haozhi, et al.
Publicado: (2026)

Dilu: Enabling GPU Resourcing-on-Demand for Serverless DL Serving via Introspective Elasticity
por: Lv, Cunchi, et al.
Publicado: (2025)

KCES: A Workflow Containerization Scheduling Scheme Under Cloud-Edge Collaboration Framework
por: Shan, Chenggang, et al.
Publicado: (2024)

Scalable Distributed Vector Search via Accuracy Preserving Index Construction
por: Xu, Yuming, et al.
Publicado: (2025)

Automated, Reliable, and Efficient Continental-Scale Replication of 7.3 Petabytes of Climate Simulation Data: A Case Study
por: Lacinski, Lukasz, et al.
Publicado: (2024)

Matryoshka: Optimization of Dynamic Diverse Quantum Chemistry Systems via Elastic Parallelism Transformation
por: Wang, Tuowei, et al.
Publicado: (2024)