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Call for Posters

Call for Posters

ICPP 2026 Call for Posters

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: Parallel Computer Architecture and Accelerator Designs, Large-Scale System Architectures, Datacenter/Warehouse Computing Architecture, Machine Learning Architectures, Micro-Architecture for Parallel Computing, Architectural Support for Networking, New Memory and Storage Technologies, Near-Memory Computing, Parallel I/O, Architectures for Edge Computing, Post-Moore, Architectural Support for Reliability and Security.

Programming Environments & System Software: System Software, Middleware, Runtimes for parallel computing, Parallel and Distributed Programming Languages & Models, Programming Systems, Compilers, Libraries, Programming Infrastructures and Tools, Operating and Real-Time Systems.

Multidisciplinary: Innovation combining multiple disciplines, Converged HPC Cloud Edge computing, Complex Workflows, Methodologies for Performance Portability and/or Productivity across Architectures.

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, Post-Moore parallel algorithms.

Performance: Performance Modeling of Parallel or Distributed Computing, Performance Evaluation of Parallel or Distributed Systems; Scalability, Simulation Models, Analytical Models, Measurement-Based Evaluation.

Applications & Use Cases: Parallel, Distributed and Accelerated Applications, Scalable Data Analytics & Applied Machine Learning, Computational and Data-Driven Science & Engineering in computational sciences including, but not limited to Astrophysics, Computational Chemistry and Physics, Life Sciences, Earth Science, Materials Science, Finance, Geology and Engineering.

AI in Computing: AI for Application & Use Case, AI for System Architecture & Hardware Components, AI for Multidisciplinary, AI for Performance and AI for Programming Environments & Systems Software

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.