(Include but not limited to)
Track 1: High-performance Computing and Parallel Architecture
Parallel algorithms and heterogeneous computing (accelerators such as GPU/FPGA)
Large-scale distributed simulation and load balancing technology
Mixed-precision computing and numerical stability optimization
Performance evaluation and benchmarking of high-performance computing
Portable programming models on heterogeneous HPC architectures
Memory management and I/O optimization for large-scale simulations
Simulation infrastructure enabled by cloud computing and edge computing
Energy-aware and green high-performance computing
Real-time simulation and hardware-in-the-loop testing
Application-hardware co-design methods
Fault-tolerant mechanisms and high-reliability computing
Track 2: Computational Modeling and Simulation Methods
Computational Fluid Dynamics (CFD) and multi-physics field coupling simulation
Multiscale and cross-scale modeling methods
Reduced-order modeling and surrogate model techniques
Discrete event simulation and agent-based modeling
Model calibration, verification, and validation (V&V)
Uncertainty quantification and stochastic modeling
Digital twin-driven system simulation
Multidisciplinary design optimization methods
Unstructured grids and adaptive algorithms
Large-scale numerical solvers (finite element, finite volume, etc.)
Multi-physics coupling modeling (flow-solid coupling, thermal coupling, etc.)
Track 3: AI-driven Simulation and Cross-Applications
Physical Information Neural Network (PINN) and data-physical fusion modeling
Machine learning-assisted agent models and simulation acceleration
Applications of neural operators and diffusion models in scientific simulation
Generative AI-driven data augmentation and scene generation
AI-HPC integration workflow and intelligent scheduling
Simulation modeling and decision-making enabled by large language models (LLMs)
Learning-based simulation parameter optimization and adaptive control
Interpretable AI and uncertainty quantification in simulation analysis
Digital twin and AI-driven engineering optimization
Data management and visualization for high-performance simulation
Automated computational workflow for scientific discovery
Simulation applications in environmental science, energy, aerospace, biomedicine, etc.
......