Conference Information
ICPP 2023: International Conference on Parallel Processing
https://icpp23.sci.utah.edu/
Submission Date:
2023-04-14
Notification Date:
2023-06-16
Conference Date:
2023-08-07
Location:
Salt Lake City, Utah, USA
Years:
52
CCF: b   CORE: a   QUALIS: a2   Viewed: 313024   Tracked: 212   Attend: 39

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 2023 is the 52nd edition of ICPP.

ICPP2023 will be held in Salt Lake City, UTAH, USA, from August 7th to 10th, 2023. ICPP 2023 is a premier venue for presenting the latest research on all aspects of parallel processing. Topics of interest in ICPP 2023 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 Accelerator Designs, LArge-Scale System Architectures, 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: Innovation combining multiple disciplines, 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.
Last updated by Dou Sun in 2023-01-22
Acceptance Ratio
YearSubmittedAcceptedAccepted(%)
20113638122.3%
20092207132.3%
20082638130.8%
20062006432%
20052416928.6%
20041906534.2%
20031926935.9%
20021886735.6%
20011396546.8%
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