(The following topics include but are not limited to)
Track 1: Computing Power Network and Infrastructure
Architecture Design for Computing and Networking Integration for AI Applications
Computing Power Identification, Measurement and Perception Technologies
Cloud-Edge-End Collaboration and Resource Orchestration in Computing Power Networks
Load Balancing and Resource Scheduling of Heterogeneous Computing Resources
Diversity Computing System and Collaborative Computing
Delay Sensing and Quality of Service Assurance Mechanisms in Computing Power Networks
Lossless Network Design, RDMA Technology and Ultra-Large-scale Data Center Network
AI Data Center Network Architecture Based on IPv6/SRV6
Green Computing Power Network and High Energy Efficiency Design
Fault Tolerance Mechanism and Endogenous Security in Computing Power Networks
Semantic Communication and AI-driven Computing Power Network Orchestration
Computing Power Network Enabled by Unmanned Aerial Vehicles and Non-Ground Networks
Track 2: High-Performance Computing (HPC) and Parallel Computing
Heterogeneous and Hybrid Computing Systems (GPU, FPGA, AI Chips, Neuromorphic Computing)
Parallel Computing Models, Algorithms and Large-Scale Scientific Computing Applications
High-Performance Computing Cloud (HPC in the Cloud) and HPC Serviceization
Large-scale Distributed Deep Learning and AI Large Model Training
High-performance Storage Systems and Next-Generation Storage Architecture
Distributed Resource Management and Job Scheduling Algorithms
Modeling, Performance Characterization and Optimization of High-Performance Computing Systems
Fault Tolerance, Checkpoint Recovery and Reliability Technologies
High-performance Interconnection Networks and On-Chip/Inter-Chip Network Architectures
High-performance Computing for Data-intensive and Scientific Workflows
Energy Consumption Modeling and Green Computing of High-performance Computing
Heterogeneous Integration of Quantum Computing and Classical Computing
Track 3: Distributed Systems and Edge/Cloud Computing
Distributed System Software, Middleware and Runtime Systems
Distributed Intelligence (Federated Learning, Distributed Intelligence)
Cloud Computing, Edge Computing, Fog Computing and Mobile Computing Systems
Serverless Computing and Function as a Service (FaaS)
Distributed Storage Systems and Data Management
Containerization, Microservices and Cloud-Native Orchestration Technologies
Edge Intelligence (Edge AI) and TinyML Technologies
Distributed System Security, Confidential Computing (TEE, SEV) and Privacy Protection
Distributed System Fault Tolerance and Elasticity Technologies
Distributed Network Protocols and Network-Based Processing Systems
Performance Evaluation and Benchmarking of Large-scale Distributed Systems
Distributed Workflow and Data Flow Processing Systems
...