Session Chair
Lingjun Zhao
Guangdong Polytechnic Normal University, China
This special session focuses on the latest advancements in Parallel and Distributed Computing, Grid Computing, and Cloud Computing, with a strong emphasis on emerging intelligent applications. As modern systems increasingly rely on massive data processing, real‑time analytics, and AI‑driven decision‑making, this session welcomes innovative research that enhances scalability, reliability, and performance across distributed environments. We particularly encourage contributions that integrate deep learning, image and signal processing, and wireless sensing into distributed and cloud‑based systems. These technologies are transforming data‑intensive applications and enabling smarter, more adaptive computing infrastructures.
1. Multicore, Manycore, and High‑Performance Computing
- Multicore and manycore architectures
- GPU/CPU‑GPU heterogeneous systems
- CUDA‑based parallel programming
- Petaflop‑scale computing
- HPC scheduling and resource management
2. Parallel and Distributed Computing
- Parallel algorithms and optimization
- Distributed algorithms and fault tolerance
- Distributed data processing frameworks (Spark, Flink, Ray)
- Parallel software technologies
- Load balancing and distributed synchronization
3. Grid Computing
- Grid architectures and middleware
- Resource sharing and virtualization
- Grid‑enabled scientific applications
- Security and trust in grid environments
4. Cloud Computing
- Cloud architectures and orchestration
- Serverless and edge‑cloud continuum
- Cloud‑native AI/ML pipelines
- Virtualization and containerization (Docker, Kubernetes)
- Cloud security, privacy, and compliance
5. Deep Learning in Distributed Environments
- Distributed training and model parallelism
- Federated learning and privacy‑preserving AI
- Deep learning acceleration on cloud/HPC
- Scalable inference for real‑time applications
6. Image and Signal Processing
- Distributed image processing pipelines
- Real‑time video analytics on cloud/edge
- Signal processing for sensor networks
- Vision‑based distributed intelligence
- Compression, transmission, and reconstruction
7. Wireless Sensing and Positioning
- Wireless sensing for IoT and smart environments
- Distributed wireless signal processing
- RF‑based sensing and localization
- Wireless positioning under next‑generation networks
- Sensor fusion and distributed perception
8. Distributed Systems and Applications
- Distributed vehicle technologies
- Smart cities and intelligent transportation
- Bioinformatics and computational biology
- Data mining and meta‑heuristics
- Engineering design and optimization
9. Intelligent Algorithms and Models
- Machine learning and neural networks
- Genetic algorithms and evolutionary computation
- Cellular automata
- Hybrid AI‑HPC frameworks
- Optimization for large‑scale distributed systems
10. Visualization and Virtual Reality
- Distributed visualization systems
- VR/AR for scientific computing
- Real‑time rendering on cloud/HPC
- Collaborative virtual environments
