Special Track 4

Intelligent Parallel and Distributed Computing Technologies

Chairs

Chair 1
Guoqi Xie
Changsha University of
Science and Technology
Chair 2
Shiming He
Changsha University of
Science and Technology
Chair 3
Guo Mao
Changsha University of
Science and Technology

Introduction

The rapid advancement of intelligent systems, coupled with the growing need for scalable computational solutions, has brought Parallel and Distributed Computing (PDC) technologies to the forefront of innovation. This special track aims to explore the convergence of intelligent algorithms, systems, and architectures within PDC technologies to address modern computational challenges. Of particular interest are groundbreaking methods and applications that leverage distributed systems for tasks such as optimization, learning, decision making, and large-scale simulation. The track also welcomes discussions on energy-efficient, adaptive, and sustainable PDC solutions that are fundamental for modern AI-driven applications. We aim to foster collaboration among researchers, developers, and practitioners to exchange ideas and advance the state of the art in intelligent PDC technologies applicable to diverse fields, such as big data processing, IoT, cloud/edge computing, and high-performance computing. Submissions are encouraged from interdisciplinary teams and fields that align with the principles of PDC innovations.

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.