SNPD 2025-Summer II Special Sessions

Special Session I: Organization of Innovative Computer System for Large-scale and Flexible Computing

Topic Description:

Parallel and distributed computing are now becoming popular techniques for processing large-scale data set. This special session aims to explore innovative computer system designs suitable for such advanced computing. The session covers a wide range of research fields from hardware to software and focuses on the following aspects of the system: performance, scalability, flexibility, availability, fault-tolerance, and security.

Topics of interest include, but are not limited to:

  • Parallel and Distributed Computer Architectures
  • Parallel and Distributed Storage Systems
  • Parallel and Distributed Algorithms
  • Parallel and Distributed I/O Systems
  • Network Architectures for Parallel and Distributed Computing
  • Network and Distributed Systems Security
  • Network and Distributed Systems Operation Technology
  • Reconfigurable Systems
  • Fault-Tolerant Systems
  • Architectural Support for Machine Learning

Special Session Organizer:

Atsushi Nunome, Kyoto Institute of Technology, Japan (nunome@kit.ac.jp)

List of Reviewers:

Hideharu Amano, University of Tokyo, Japan

Ken Higuchi, University of Fukui, Japan

Hiroaki Hirata, Kyoto Institute of Technology, Japan

Teruhisa Hochin, Kyoto Institute of Technology, Japan

Hideo Masuda, Kyoto Institute of Technology, Japan

Shin-ichiro Mori, University of Fukui, Japan

Atsushi Nunome, Kyoto Institute of Technology, Japan

Kanemitsu Ootsu, Utsunomiya University, Japan

 

Special Session 2: Systems and Services with/for Data-Intensive Approach

Topic Description:

The emerging technologies of IoT, BigData, Cloud Computing, and AI enable data-intensive approaches to real-life challenges. In modern software systems and services, the data is extensively used for monitoring, operation, and prediction, achieved by sophisticated algorithms of data processing, context reasoning, and machine learning. This special session aims to bring together researchers, professors and practitioners who are working for such data-intensive approach to implement smart software systems and services. The session welcomes papers related to software systems and services using any data-intensive approach. We also welcome fundamental technologies for achieving the data-intensive approach,

The following topics are relevant to the special session, but are not exclusive of other relevant issues.

– Development of Data-Intensive Systems and Services

– Software Engineering for Data-Intensive Systems

– Data-Intensive Engineering

– Data-Mining, Cleansing, Processing for Data-Intensive Systems

– IoT, CPS, and Smart Systems

– Usage and Integration of Open Data

– APIs with/for Data-Intensive Approach

– Domain-Specific Machine-Learning Theories and Applications

– Education of Data-Intensive Systems

Special Session Organizers:

Masahide Nakamura, Kobe University, Japan, Email: masa-n@people.kobe-u.ac.jp

Sinan Chen, Kobe University, Japan, Email: chensinan@gold.kobe-u.ac.jp

Takuya Nakata, Kobe University, Japan, Email: tnakata@es4.eedept.kobe-u.ac.jp

List of Reviews:

Masahide Nakamura, Kobe University, Japan

Sinan Chen, Kobe University, Japan

Takuya Nakata, Kobe University, Japan