Welcome to the 26th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2026), held in the historic city of Exeter, UK, from 28-30 October, 2026.

ICA3PP 2026 is the 26th event in this prestigious series of conferences started in 1995 that are devoted to algorithms and architectures for parallel processing. ICA3PP is a famous event worldwide that covers many dimensions of parallel algorithms and architectures, encompassing fundamental theoretical approaches, practical experimental projects, and commercial components and systems. With the booming computing demands from every aspect of modern society, parallel processing has become increasingly critical and challenging. This conference provides a forum for academics and practitioners from all over the world to exchange ideas on improving the efficiency, performance, reliability, security and interoperability of computing systems and applications.

Following the traditions of previous successful ICA3PP conferences held in Zhengzhou, Macao, Copenhagen, Brisbane, Singapore, Hong Kong, Beijing, Hangzhou, Cyprus, Taipei, Busan, Melbourne, Fukuoka, Vietri sul Mare, Dalian, Zhangjiajie, Granada, Helsinki, Guangzhou, New York City, Xiamen and Tianjin, ICA3PP 2026 will be held in Exeter, England, UK. The objective of ICA3PP 2026 is to bring together researchers and practitioners from academia, industry and governments to advance the theories and technologies in parallel and distributed computing. ICA3PP 2026 will focus on two broad areas of parallel and distributed computing, i.e. architectures, algorithms and networks, and systems and applications. In this year, ICA3PP 2026 will be organized by University of Exeter.

We invite submissions from academia, government and industry that present novel research on all aspects of parallel and distributed computing. Topics of ICA3PP include but are not limited to the following areas:

Track 1: Parallel and Distributed Architectures

• Parallel and Heterogeneous Architectures
• Parallel Programming Paradigms
• Energy-Efficient Parallel and Distributed Systems
• Service-oriented Architectures
• Blockchain Architecture
• Quantum and Neuromorphic Computing Architectures
• Hardware Accelerators for Generative AI

• Cluster, Distributed & Parallel Operating Systems and Middleware
• System Software for Parallel and Concurrent Programming
• Programming Models for Compute, Storage and Memory
• Parallel File Systems and Storage
• Parallel and Distributed Databases
• Parallel Programming Theory and Models
• Tools for Programming and Analysis of System Software
• Serverless Computing and Cloud-Native Platforms

• Reliability and Fault-tolerant Computing
• High-performance Scientific Computing
• Parallel and Distributed Algorithms
• Resource Management and Scheduling
• Federated Learning and Decentralized AI
• Distributed Training and Inference for Foundation Models (LLMs)
• Multimedia in Parallel Computing
• Parallel Computing in Bioinformatics
• Industrial Applications

• Dependability Issues in Computer Networks and Communications
• Dependability in Parallel and Distributed Systems
• Dependability of Software Defined Networks
• Self-healing, Self-protecting and Fault-tolerant Systems
• Network and Information Security
• Trust, Security and Privacy in Cloud computing, Social Networks, and Internet of Things
• Security and Privacy in Parallel and Distributed Computing
• Zero-Trust Architectures in Distributed Systems

• Wireless and Mobile Networks
• High Performance Networks and Communication
• AI/Machine Learning for Networking
• Network and Interconnect Architectures
• SDN, NFV and Network Programming
• Energy Efficiency in Networks
• Network Measurement and Parallel Processing
• Edge-to-Cloud Continuum and Orchestration

• Architecture, Networks and Systems of Big Data
• Big Data Applications, Algorithms and Data Structures
• Research and Development Trends of Big Data
• Big Data Benchmarking, Monitoring, and Management
• Security and Privacy of Big Data
• Big Data Interoperability and Orchestration
• Parallel Processing for Big Data
• Distributed Data Analytics and Applications

• Machine Learning and Edge AI for IoT
• Pervasive/Ubiquitous Control, Computing and Networking
• Social Computing and Analytics on Cyber-Physical Data
• Smart Communities with Cyber-Physical-Social Systems
• Ubiquitous Sensing in Social Networks
• Cyber-Physical-Social Systems and Networks
• Cyber-Physical-Social Applications
• Digital Twins and Industrial IoT (IIoT)

• Performance of Parallel & Distributed Computing Systems
• Software and Hardware Reliability, Testing, Verification and Validation
• Tools and Environments for Parallel & Distributed Software Development
• Optimization, Modeling and Simulation
• Stochastic Analysis, Statistical Analysis and Simulation
• Planning, Scheduling and Quality-of-Service
• Game theory, Economics and Control Theory
• Performance Analysis of Large-scale AI Workloads

ICA3PP-2025, Zhengzhou, China

ICA3PP-2024, Macau SAR, China

ICA3PP-2022, Copenhagen, Denmark

ICA3PP-2021, Xiamen, China

ICA3PP-2020, New York, USA

ICA3PP-2019, Melbourne, Australia