(Including but not limited to the following topics)
Track 1: High-performance Computing
Parallel and Distributed System Architecture
Languages and Compilers for High-performance Computing
Parallel and Distributed Software Technology
Parallel and Distributed Algorithms
Embedded Systems
Computational Intelligence, Peer-to-Peer Computing
Grid and Cluster Computing
Web Services and Internet Computing
Cloud Computing, Utility Computing
Performance Evaluation and Measurement
Tools and Environments for Software Development
Distributed Systems and Applications
High-performance Scientific and Engineering Computing
Database Applications and Data Mining
Biological/Molecular Computing
Collaboration and Cooperation Environments
Mobile Computing and Wireless Communication
Computer Networks
Ubiquitous/Ubiquitous Computing and Intelligence
Automation, Reliability and Fault Tolerance
Track 2: Optimization Algorithms
Large-scale Nonlinear Optimization and Convex Optimization Methods
Combinatorial Optimization, Integer Programming and Heuristic Algorithms
Multi-objective Optimization and Robust Optimization Techniques
Distributed Optimization and Parallel Optimization Algorithms
Machine Learning-Based Optimization Algorithm Design
Dynamic Optimization and Online Optimization Strategies
Applications of Optimization Algorithms in Supply Chain, Transportation, etc.
Track 3: Statistical Modeling
Statistical Mechanics
Data and Analysis
Mathematical Modeling
Meta-Modeling and Regression
Input for Simulation Modeling
Numerical Analysis, Stochastic Modeling
Model Validity and Verification
Physical Simulation, Physical Modeling
Image, Speech and Video Processing and Analysis
Linear Algebra and Programming Models
Model Verification and Validation
Modeling and Simulation
Statistical Machine Learning and Deep Learning Theory
Large-scale Statistical Computing and Distributed Inference
Applications of Statistical Modeling in Biomedicine, Social Sciences, etc. ......