Special Track 7

Distributed Digital Twin Computing and Parallel Simulation Systems

Chairs

Chair 1
Chi Lin
Dalian University of Technology
Chair 2
Zhenli He
Yunnan University
Chair 3
Bin Liu
Northwest A&F University
Chair 1
Aijia Ouyang
Zunyi Normal University

Introduction

The rapid development of cyber-physical systems, intelligent infrastructures, autonomous platforms, and large-scale real-world applications is driving new requirements for distributed digital twin computing and parallel simulation systems. Digital twins are no longer static virtual models; they require continuous synchronization with physical environments, scalable simulation, real-time state estimation, collaborative analysis, and adaptive decision-making across heterogeneous computing and networking infrastructures. These requirements create new challenges for Parallel and Distributed Computing, including distributed model construction, parallel simulation acceleration, real-time twin-state updating, multi-source information fusion, and reliable system-level decision support.

This track focuses on theories, algorithms, platforms, and applications for distributed digital twin computing and parallel simulation systems. It welcomes original research on distributed digital twin architectures, parallel and high-performance simulation, collaborative cyber-physical modeling, real-time twin synchronization, intelligent system prediction, scenario generation, distributed decision support, and PDC-enabled applications in transportation, industry, agriculture, environmental monitoring, smart cities, and public services. The goal is to promote scalable, reliable, efficient, and intelligent computing paradigms for complex real-world systems.

Topics

Important Date

We are pleased to announce the important dates for PDCAT 2026. Please mark your calendars!
All deadlines are based on Anywhere on Earth (AoE), at midnight on the specified date.