The 24th IEEE International Symposium on Parallel and Distributed Processing with Applications
(IEEE ISPA 2026)
Kuala Lumpur, Malaysia
27-30 December, 2026
Important Dates
Workshop Proposal Due
August 15, 2026
Regular Paper Due
August 30, 2026 (AoE time)
Author Notification Due
October 30, 2026
Paper Registration Due
November 30, 2026
Camera-ready Submission Due
November 30, 2026
Conference Dates
December 27-30, 2026
Organizing Committee
General Chairs
Huazhong Liu, Hainan University, China
Program Chairs
Huazhong Liu, Hainan University, China
Rong Gu, Nanjing University, China
Program Vice-Chairs
Jiawei Huang, Central South University, China
Local Chairs
Workshop Chair
Shaojun Zou, Hainan University, China
Publicity Chairs
Publication Chairs
Zhicai Zhang, Hainan University, China
Registration Chair
Web Chairs
Ren Li, Hainan University, China
Steering Committee
Minyi Guo, ShanghaiJiao Tong University, China
Laurence T. Yang, Zhengzhou University, China
Join us at the 24th IEEE International Symposium on Parallel and Distributed Processing with Applications (IEEE ISPA 2026)
The 24th IEEE International Symposium on Parallel and Distributed Processing with Applications (IEEE ISPA 2026) is a forum for presenting leading work on parallel and distributed computing and networking, including architecture, compilers, runtime systems, applications, reliability, security, parallel programming models and much more. During the symposium, scientists and engineers in both academia and industry are invited to present their work on concurrent and parallel systems (multicore, multithreaded, heterogeneous, clustered systems, distributed systems, grids, clouds, edge, and large scale machines).
The 24th IEEE ISPA 2026 will be hosted in Shenyang, China. IEEE ISPA follows the tradition of previous successful IEEE ISPA conferences in the years from 2003 to 2025 in Asia, Europe, Australia and North America. It will feature sessions of regular presentations, workshops, tutorials and keynote speeches. IEEE ISPA 2026 is particularly interested in research addressing heterogeneous computing with the use of accelerators, mobile computing, approximate computing, tools and methodologies to improve the quality of parallel programming and applying generic computing approaches to networks.
We invite submissions from academia, government and industry that present novel research on all aspects of parallel and distributed processing with applications. Topics of ISPA include but are not limited to the following areas:
- Track 1: Systems and Architectures – Cloud computing and data center technology
- Track 2: Technologies and Tools – Parallel and distributed computing paradigms
– Migration of computations
– Multi-clouds environments, cloud federation, interoperability
– Energy management and green computing
– Wireless and mobile networks
– Systems and Architectures for artificial intelligence
– Distributed/parallel algorithms and application
– Social networks, crowdsourcing, and P2P systems
– Distributed file and storage systems, I/O systems
– Novel parallel programming paradigms
– Programming models for cloud services
– Code generation and optimization
– Compilers for parallel computers
– Middleware and tools
– Scheduling and resource management
– Reliability, fault tolerance, and dependability
– Generative AI, agents, and world model
- Track 3: Applications and Services – High-performance scientific and engineering computing
- Track 4: Security and Block-chain – Security in parallel AI systems
– Grid and cluster computing
– Pervasive and ubiquitous computing
– Databases, data mining, and data management
– Big data and business analytics
– Scientific cloud systems and services
– Internet computing and web services
– Software defined network and its applications
– LLMs powered by parallel and distributed computing
– Federated learning
– Blockchain-based applications and services
– Blockchain security and privacy
– Blockchain in cyber physical systems
– Scalability issues in blockchain
– Blockchain in edge and cloud computing
– Blockchain-based applications and services
– Decentralized blockchain-enabled AI systems
Sponsored and Organized by