Call for Posters:
International Conference on Parallel Processing (ICPP) 2026
Final Submission Deadline
June 15, 2026
June 15, 2026
ICPP 2026 invites poster submissions presenting early-stage research, novel ideas, work-in-progress results, and late-breaking developments in parallel processing and related areas. The poster session provides an interactive forum to exchange ideas, receive feedback, and connect with the ICPP community.
Important Dates
- Poster submission deadline: June 15, 2026
- Poster author notification: July 15, 2026
Poster Submission Guidelines
- Submission type: 1) an Extended Abstract and 2) a Poster Draft. The extended abstract will be included in the Workshop proceedings if accepted.
- Requirement: The poster 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) in PDF format printable on US letter size (8.5″ x 11″) paper. Please use the ACM format located at: https://www.acm.org/publications/proceedings-template. configuration for submissions prepared in LaTeX. Changes to the template (e.g., margin, font size) could lead to automatic rejection. Submissions should represent original research results and cannot already be under review or accepted for publication/presentation in another venue.} We recommend using documentclass[sigconf,review]{acmart}
Topics of Interest
Posters are welcome on (but not limited to) the following areas:
- System Architecture & Hardware Components
- Programming Environments & System Software
- Innovation combining multiple disciplines, Converged HPC Cloud Edge computing, Complex Workflows, Methodologies for Performance Portability and/or Productivity across Architectures.
- Parallel and Distributed Algorithms,
- Performance Modeling of Parallel or Distributed Computing, Performance Evaluation of Parallel or Distributed Systems
- Parallel, Distributed and Accelerated Applications, Scalable Data Analytics & Applied Machine Learning.
- AI for Application & Use Case, AI for System Architecture & Hardware Components, AI for Multidisciplinary, AI for Performance and AI for Programming Environments & Systems Software
- Parallel simulators of quantum computers, use of parallel computing for quantum compilation and optimization,