Conference Information
ICPP 2022: International Conference on Parallel Processing
https://icpp22.gitlabpages.inria.fr/
Submission Date:
2022-04-08
Notification Date:
2022-06-14
Conference Date:
2022-08-29
Location:
Bordeaux, France
Years:
51
CCF: b   CORE: a   QUALIS: a2   Viewed: 251199   Tracked: 192   Attend: 30

Call For Papers
ICPP, the International Conference on Parallel Processing, provides a forum for engineers and scientists 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 computer science conferences; ICPP 2021 was the 50th edition of ICPP.

ICPP2022 will be held in Bordeaux, France, from August 29 to September 1, 2022. ICPP is a premier venue for presenting the latest research on all aspects of parallel processing. Topics of interest in ICPP 2022 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 (e.g., astrophysics, computational chemistry, bioinformatics, climate science, finance, geology).
    Architecture: Micro-Architecture for Parallel Computing, Parallel Computer Architecture and Accelerators Designs, Datacenter/Warehouse Computing Architecture, Machine Learning Architectures, Architectural Support for Networking, New Memory Technologies, Near-Memory Computing, Parallel I/O, Architectures for Edge Computing, Architectural Support for Reliability and Security.
    Multidisciplinary: Work where the innovation comes from the combination of more than one discipline and is cross-cutting. Examples include but are not limited to: complex workflows that include elements of data analytics and/or models based on AI/ML in addition to traditional simulations, or work that applies a known algorithm in an innovative way to emerging applications, or proposes a methodology for performance portability and/or productivity across different architectures for a known algorithm.
    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.
Last updated by Dou Sun in 2022-03-19
Acceptance Ratio
YearSubmittedAcceptedAccepted(%)
20113638122.3%
20092207132.3%
20082638130.8%
20062006432%
20052416928.6%
20041906534.2%
20031926935.9%
20021886735.6%
20011396546.8%
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