(The following topics include but are not limited to)
Track 1: Computer Systems
Deep Learning Control
Reinforcement Learning Applications
Big Data-Driven Control
Edge Intelligent Computing
Blockchain Security Control
Computer Vision Perception
Natural Language Processing Control
Federated Learning Optimization
Cloud Computing Collaborative Control
Digital Twin Modeling
Multimodal Data Fusion
Intelligent Algorithm Acceleration
Embedded Intelligent Systems
Quantum Computing Control
Network Intelligent Scheduling
Track 2: High-Performance Computing
Parallel and Distributed Computing Embedded system
Advanced algorithms, computer modeling
Big data and cloud computing
Database application and data mining
Computational intelligence
Network and cluster computing
Web services and Internet computing
Cloud computing, utility computing
Performance evaluation and measurement
Tools and environments for software development
High-performance scientific and engineering computing
Biological/molecular computing
Mobile computing and wireless communication Computer Network
Telecommunications, Automation
Reliability and fault tolerance, trust
Security and privacy, etc.
Track 3: Parallel Processing
Performance optimization of distributed computing frameworks (MapReduce, Spark, Flink)
Cloud-native computing, containerization and serverless computing
Edge computing, fog computing and end-to-edge-cloud collaborative systems
Parallel platforms for big data processing and analysis
Distributed machine learning and federated learning systems
Transaction processing, consistency protocols and distributed storage
High-performance data stream processing and real-time analysis
Distributed system monitoring, observability and automatic operation and maintenance ....