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ICPP 2026: International Conference on Parallel Processing

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ICPP
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截稿日期:
2026-04-24
通知日期:
2026-06-30
会议日期:
2026-09-28
会议地点:
Singapore
届数:
55
CCF: B   ICORE: B   QUALIS: A2   浏览: 450794   关注: 224   参加: 42

会伴指数 (CP-I)

88.3 / 100
全站第 91 名 / 共 5,680 个会议 · 前 2%

系统与体系结构 第 22 / 341

学术认可 (35%)
92
投稿选择性 (20%)
79
会议传承 (20%)
100
社区关注 (10%)
83
资料公开度 (15%)
80

用到的输入: 收录等级：CCF B, ICORE B, QUALIS A2 · 录用率：29.2%（有记录的 5 届的均值） · 有据可查的届次：55 · 在会伴关注它的研究者：224 人 · 过去 24 个月打开过本页的研究者：57 人

公开资料里还缺: 历届信息 (+3.0)
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 100% —— 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 2026-09-11

征稿

ICPP 2026 (International Conference on Parallel Processing) is a CCF B / ICORE B / QUALIS A2 conference held in Singapore on 2026-09-28. The paper submission deadline is 2026-04-24. Acceptance notifications are sent on 2026-06-30.

ICPP, the International Conference on Parallel Processing, provides a forum for researchers, scientists, and practitioners in academia, industry, and government to present their latest research findings in all aspects of parallel and distributed computing. ICPP is one of the oldest continuously running international computer science conferences. ICPP 2026 is the 55th edition of ICPP. ICPP 2026 will be held in Singapore from 28 September to 1 October, 2026. ICPP 2026 is a premier venue for presenting the latest research on all aspects of the field. ICPP 2026 will be organized around seven tracks which includes Algorithms, Applications, Architecture, Multidisciplinary, Performance, Software, and Quantum Computing. Topics of interest in ICPP 2026 papers include, but are not limited to: Algorithms: Parallel and Distributed Algorithms, Parallel and Distributed Combinatorial & Numerical Methods, Scheduling Algorithms for Parallel and Distributed Applications and Platforms, Algorithmic Innovations for Parallel and Distributed Machine Learning. Applications: Parallel and Distributed Applications, Scalable Data Analytics & Applied Machine Learning, Computational and Data-Driven Science & Engineering (including, but not limited to Astrophysics, Computational Chemistry and Physics, Life Science, Climate Science, Earth Science, Materials Science, Finance, Geology and Engineering). Architecture: Micro-Architecture for Parallel Computing, Parallel Computer Architecture and Accelerator Designs, Large-Scale System Architectures, Datacenter/Warehouse Computing Architecture, Machine Learning Architectures, Architectural Support for Networking, New Memory and Storage Technologies, Near-Memory Computing, Parallel I/O, Architectures for Edge Computing, Architectural Support for Reliability and Security. Multidisciplinary: Innovation combining multiple disciplines, Converged HPC Cloud Edge Computing, Cross-Cutting Research (e.g., Complex Workflows Combining Data Analytics and/or AI/ML with Traditional Simulations), Use of Known Algorithms in Novel/Emerging Applications, Methodologies for Performance Portability and/or Productivity across Architectures. Performance: Performance Modeling of Parallel or Distributed Computing, Performance Evaluation of Parallel or Distributed Systems; Scalability, Simulation Models, Analytical Models, Measurement-Based Evaluation. Software: Systems Software, Middleware, Runtime Systems, Parallel and Distributed Programming Languages & Models, Programming Systems, Compilers, Libraries, Programming Infrastructures and Tools, Operating and Real-Time Systems, Parallel File Systems, Data Management Systems. Quantum Computing: Parallel Simulators of Quantum Computers, Use of Parallel Computing for Quantum Compilation and Optimization, Co-design of Parallel- and Quantum-Computing Applications, Hybrid Parallel/Quantum Software-Development Tools.
由 Dou Sun 最后更新于

录用率

平均录用率: 33.2% 9 年间 (2001–2011).

年份提交数录用数录用率(%)
20113638122.3%
20092207132.3%
20082638130.8%
20062006432%
20052416928.6%
20041906534.2%
20031926935.9%
20021886735.6%
20011396546.8%

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