53rd International Conference on Parallel Processing

Gotland, Sweden - August 12-15, 2024

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 2024 is the 53rd edition of ICPP

ICPP 2024 is soliciting submissions to present research posters at this year’s conference. The poster program offers participants an opportunity to present their ongoing research work to the entire ICPP conference audience and to make useful contacts regarding future research collaborations and career opportunities.

Topics of interest 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.

Submission Guidelines

Please submit 1) an Extended Abstract and  2) a Poster Draft.

The extended abstract should not exceed 2 pages (including references) and all submissions must be made electronically through the conference submission portal (https://ssl.linklings.net/conferences/icpp) under the "poster" category. Submissions of extended abstracts should be made in PDF format printable on US letter size (8.5" x 11") paper and please use the ACM format located at: https://www.acm.org/publications/proceedings-template.

Submissions should represent original research results and cannot already be under review or accepted for publication/presentation in another venue. Poster dimensions should not exceed A0. Submissions will be reviewed by a committee comprised of the Poster and Student Program chairs and members from the ICPP research community with diverse expertise in areas related to parallel processing. By submitting a poster, authors are making a commitment to attend the in-person conference program, if their submission is accepted.

Extended abstracts from all accepted papers will be published in the conference proceedings in the ACM Digital Library.

Important Deadlines:

Extended Abstract and Poster Draft Submission: June 17, 2024.
Author Notification: July 8, 2024.
Camera Ready deadline for extended abstracts: July 15, 2024.
Conference: August 12 – August 15, 2024.

Submission Link

Please visit this link to make poster submissions.

Contact

If you have any questions, please feel free to contact the ICPP 2024 Poster chair: Nick Brown (This email address is being protected from spambots. You need JavaScript enabled to view it.) and Jie Ren (This email address is being protected from spambots. You need JavaScript enabled to view it.).