Conference Information

ICA3PP 2026: International Conference on Algorithms and Architectures for Parallel Processing

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Submission Date:
2026-07-10 Due in 18 days
Notification Date:
2026-08-30
Conference Date:
2026-10-26
Location:
Exeter, UK
Years:
26
CCF: C   QUALIS: B3   Viewed: 175524   Tracked: 208   Attend: 73

Call For Papers

ICA3PP 2026 (International Conference on Algorithms and Architectures for Parallel Processing) is a CCF C / QUALIS B3 conference held in Exeter, UK on 2026-10-26. The paper submission deadline is 2026-07-10. Acceptance notifications are sent on 2026-08-30.

Scope and Topics 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 Track 2: Software Systems and Programming Models 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 Track 3: Parallel and Distributed Algorithms and Applications 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 Track 4: Service Dependability and Security in Distributed and Parallel Systems 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 Track 5: Network Architectures and Algorithms 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 Track 6: Big Data Management and Analysis 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 Track 7: Internet of Things and Cyber-Physical-Social Computing 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) Track 8: Performance Modeling and Evaluation 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
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