[hpc-announce] ICPP25: Call for Submissions

[Afzal, Ayesha]

********* ICPP '25: 54th International Conference on Parallel Processing **********

In cooperation with ACM SIGHPC

September 8-11, 2025

Catamaran Resort, San Diego, CA

https://urldefense.us/v3/__https://icpp2025.sdsc.edu__;!!G_uCfscf7eWS!eg_pZzgcNZQ0GJn5RUjemPzlESFuv36rTGDddSHbxci_muqwhZzd-00kPpOnZoEIH-gjgIrcjUB0Mtj_cQsYtROsXZQQnw$ 


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CALL FOR PAPERS AND POSTERS

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https://urldefense.us/v3/__https://icpp2025.sdsc.edu/__;!!G_uCfscf7eWS!eg_pZzgcNZQ0GJn5RUjemPzlESFuv36rTGDddSHbxci_muqwhZzd-00kPpOnZoEIH-gjgIrcjUB0Mtj_cQsYtRON0-2DFQ$ 


The International Conference on Parallel Processing (ICPP) is one of the oldest continuously running computer science conferences in parallel computing in the world. It is a premier forum for researchers, scientists, and practitioners in academia, industry, and government to present their latest research findings in all aspects of the field.


The conference theme this year is “Looking Ahead in a Changing Landscape”, highlighting the opportunities and changes taking place under the influence of AI and quantum computing and creating collaborative opportunities within our multidisciplinary community.


ICPP 2025 will be organized around eight tracks which includes System Architecture & Hardware Components, Programming Environments & System Software, Multidisciplinary, Algorithms, Performance, Application & Use cases, AI in Computing and Quantum Computing.

Important Dates

Workshop proposal submissions: March 17, 2025

Workshop proposal notifications: March 24, 2025

Poster submissions: June 30, 2025

Poster notifications: July 15, 2025

Paper Submission: Apr. 21, 2024

Author Notification: June 10th, 2024

Camera-ready Deadline: July 10th, 2024

Conference: September 8-11, 2025

Paper Submissions

Paper length should be no more than 10 pages (including references) in the ACM SigConf format located at: https://urldefense.us/v3/__https://www.acm.org/publications/proceedings-template__;!!G_uCfscf7eWS!eg_pZzgcNZQ0GJn5RUjemPzlESFuv36rTGDddSHbxci_muqwhZzd-00kPpOnZoEIH-gjgIrcjUB0Mtj_cQsYtRM5uvUElg$ 





Poster Submission

Extended abstract length should be no more than 2 pages (including references) using ACM format from https://urldefense.us/v3/__https://www.acm.org/publications/proceedings-template__;!!G_uCfscf7eWS!eg_pZzgcNZQ0GJn5RUjemPzlESFuv36rTGDddSHbxci_muqwhZzd-00kPpOnZoEIH-gjgIrcjUB0Mtj_cQsYtRM5uvUElg$ 



Submission link

All submissions should be made at https://urldefense.us/v3/__https://ssl.linklings.net/conferences/icpp/__;!!G_uCfscf7eWS!eg_pZzgcNZQ0GJn5RUjemPzlESFuv36rTGDddSHbxci_muqwhZzd-00kPpOnZoEIH-gjgIrcjUB0Mtj_cQsYtROQEgyiwg$ 



Main Tracks


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: 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: 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: 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.

ORGANIZATION AND PROGRAM COMMITTEES


GENERAL CHAIR

Ilkay Altintas, San Diego Supercomputer Center, UC San Diego, USA


PROGRAM CO-CHAIRS

Sunita Chandrasekaran, University of Delaware

Sameer Shende, University of Oregon


PROGRAM TRACKS


System Architecture & Hardware Components

Dong Dai, University of Delaware, USA

John Shalf, Lawrence Berkeley National Laboratory, USA


Programming Environments & System Software

Hartwig Anzt, TU Munich, Germany

Ivy Peng, Lawrence Livermore National Lab, USA


Multidisciplinary

Gokcen Kestor, Barcelona Supercomputing Center, Spain

Hari Sundar, University of Utah, USA


Algorithms

Kengo Nakajima, RIKEN, Japan

Sanjukta Bhowmick - University of North Texas, USA


Performance

Ana Gainaru, Oak Ridge National Laboratory, USA

Keichi Takahashi, Osaka University, Japan


Application & Use cases

Meifeng Lin, Brookhaven National Laboratory, USA

Maciej Cytowski, Pawsey Supercomputing Center, Australia


AI in Computing

Min Si, Meta, USA

Pedro Lara Valero, Oak Ridge National Laboratory, USA


Quantum Computing

Scott Pakin, Los Alamos National Laboratory, USA

Anastasiia Butko, Lawrence Berkeley National Laboratory, USA




POSTER CHAIRS

Rafael Ferreira Da Silva, Oak Ridge National Laboratory, USA

Ivona Brandic, TU Wien, Austria


WORKSHOP CHAIRS

Fred Suter (Oak Ridge National Laboratory, Oak Ridge, USA)

Camille Coti (École de Technologie Supérieure, Montréal, Canada)


PUBLICITY CHAIR

Jidong Zhai, Tsinghua University, China

Nicolás Erdödy, Multicore World, New Zealand

Ayesha Afzal, FAU, Germany


WEB CHAIR

Charles Erwin, SDSC, UC San Diego, USA


PROCEEDINGS CHAIR

TBD





STEERING COMMITTEE

Chair: Wuchun Feng, Virginia Tech, USA

Sameer Shende, University of Oregon and ParaTools, USA

Allen D. Malony, University of Oregon and ParaTools, USA

Manish Parashar, University of Utah, USA

Daniel Reed, University of Utah, USA

Taisuke Boku, U. Tsukuba, Japan

Guillaume Pallez, INRIA, France

Emmanuel Jeannot, INRIA, France

Xian-He Sun, Illinois Tech, USA

Rudolf Eigenmann, University of Delaware. USA