会议信息

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

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ICA3PP
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截稿日期:
2026-07-25 Extended
通知日期:
2026-08-30
会议日期:
2026-10-26
会议地点:
Exeter, UK
届数:
26
主办方:
CCF: C   ICORE: C   QUALIS: B3   浏览: 186857   关注: 208   参加: 74

会伴指数 (CP-I)

64.7 / 100
全站第 444 名 / 共 5,682 个会议 · 前 8%

理论与算法 第 32 / 142 系统与体系结构 第 75 / 341

学术认可 (35%)
66
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
89
社区关注 (10%)
86
资料公开度 (15%)
35

用到的输入: 收录等级：CCF C, ICORE C, QUALIS B3 · 有据可查的届次：26 · 在会伴关注它的研究者：208 人 · 过去 24 个月打开过本页的研究者：99 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 80% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-18

征稿

ICA3PP 2026 (International Conference on Algorithms and Architectures for Parallel Processing) is a CCF C / ICORE C / QUALIS B3 conference held in Exeter, UK on 2026-10-26. The paper submission deadline is 2026-07-25 (extended). 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
由 Rui Jin 最后更新于

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