Conference Information

ICPP 2026: International Conference on Parallel Processing

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Submission Date:
2026-04-24
Notification Date:
2026-06-30
Conference Date:
2026-09-28
Location:
Singapore
Years:
55
CCF: B   ICORE: B   QUALIS: A2   Viewed: 450796   Tracked: 224   Attend: 42

Conference Partner Index (CP-I)

88.3 / 100
Ranked #91 of 5,680 conferences · Top 2%

#22 of 341 in Systems & Architecture

Academic recognition (35%)
92
Submission selectivity (20%)
79
Editions held (20%)
100
Community attention (10%)
83
Public record completeness (15%)
80

Inputs used: Listed as CCF B, ICORE B, QUALIS A2 · Acceptance rate: 29.2% (mean of 5 editions on file) · Editions on record: 55 · Researchers following it here: 224 · Researchers who opened this page in the past 24 months: 57

Missing from the public record: Past editions (+3.0)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 100% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-11

Call For Papers

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.
Last updated by Dou Sun on

Acceptance Ratio

Average acceptance rate: 33.2% over 9 years (2001–2011).

YearSubmittedAcceptedAccepted(%)
20113638122.3%
20092207132.3%
20082638130.8%
20062006432%
20052416928.6%
20041906534.2%
20031926935.9%
20021886735.6%
20011396546.8%

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