Organizers/Chairs

Lingjun Zhao
Guangdong Polytechnic Normal University, China

Zhishang Wang,
The University of Aizu, Japan
This special session focuses on the latest advancements and research in Parallel/Distributed, Grid, and Cloud Computing. As the demand for scalable and efficient computational resources grows, this track will explore innovative solutions and frameworks that enhance performance, reliability, and scalability of distributed systems. Participants will engage with cutting-edge research on parallel algorithms, grid computing architectures, and cloud computing models, delving into their applications across various domains. Join us to discover how these technologies are shaping the future of computing and driving innovation in data-intensive and high-performance environments.
Topic of Interests:
- Multicore and manycore computing
- Distributed systems
- Distributed Grid
- Distributed Vehicle Technologies
- HPC architectures, GPU – CPUGPU – CUDA architectures
- Parallel and distributed architectures and software technologies
- Peer-to-peer computing
- Cluster computing and Cloud computing
- Petaflop computing
- Engineering design and optimization
- Visualization and VR
- Machine learning and neural networks
- Genetic algorithms
- Cellular automata
- Data mining and Meta-heuristics -Bioinformatics
- Development and application of wireless positioning technology under new network
Former Chirs
- Lingjun Zhao (Guangdong Polytechnic Normal University, China), Zhishang Wang (The University of Aizu, Japan), 17th IEEE MCSoc 2024
- Huakun Huang , Guangzhou University, China (16th IEEE MCSoc 2023)
- Zhishang Wang, Univ. of Aizu, Japan (16th IEEE MCSoc 2023)