Poznań, Poland, August 30 - September 2, 2026
Machine learning and artificial intelligence methods have become pervasive in recent years due to numerous algorithmic advances and the accessibility of computational power. In HPC, these methods have been used to replace, accelerate or enhance existing solvers. This workshop focuses on AI-based solutions to increase performance, reduce energy consumption, or increase the accuracy in HPC applications or tools.
Paper due May 1, 2026
Notification of acceptance June 1, 2026
Workshop August 31, 2026
Camera-ready October 31, 2026
Disruptive uses of HPC technologies in the field of AI, ML, or DL.
Integration of predictive models to improve performance of scientific applications in terms of execution time and/or simulation accuracy.
Workflow of applying AI/ML/DL to scientific applications in HPC infrastructures.
Characterization and study on how to use HPC techniques with AI/ML/DL.
HPC Tools and infrastructure to improve the usability of AI/ML/DL to scientific applications.
Optimized HPC systems design and setup for efficient AI/ML/DL.
All rules of paper submission of the PPAM conference apply:
Original papers are invited for the conference. Authors should submit full papers using the EasyChair system. Regular papers are not to exceed 15 pages (LNCS style). Articles will be refereed and accepted based on their scientific merit and relevance to the conference topics. Abstracts of accepted papers will be available as a brochure during the conference. Only papers presented at PPAM 2026 will be included in the proceedings, which are planned to be published after the conference by Springer in the LNCS series.
Alternatively, abstracts of the size 500 – 800 words or original papers, are invited for the Workshop. The latter should be prepared according to the Springer LNCS and PPAM 2026 rules. The authors of accepted abstracts can feature their contributions in the oral session, but only papers presented at PPAM 2026 will be included in the proceedings.
JOURNAL SPECIAL ISSUES
Like the previous PPAM editions, the authors of the best papers selected by the Program Committee will be invited to submit extended versions of their work to special issues of journals with Impact Factor such as Future Generation Computer Systems; Int. Journal of High Performance Computing Applications; Journal of Parallel and Distributed Computing.
Krzysztof Rojek (Czestochowa Univ. of Technology, Poland)
krojek@icis.pcz.pl
Sergio Iserte (Barcelona Supercomputing Center, Spain)
sergio.iserte@bsc.es
Angel Beltre, Sandia National Laboratories (SNL)
Pawel Gepner, Warsaw University of Technology (WUT)
Kevin A. Brown, Argonne National Laboratory (ANL)
Kadidia Konate, Lawrence Berkeley National Laboratoy (LBNL)
Kevin Menear, National Laboratori of the Rockies (NLR)
Joan Calafell, Universitat Politècnica de Catalunya (UPC)
Anna Arias-Duart, Barcelona Supercomputing Center (BSC)
Franciszek Seredyński, Siedlce University of Natural Sciences and Humanities (UWS)
Manuel F. Dolz, Universitat Jaume I (UJI)
Hugo Paredes, Universidade de Trás-os-Montes e Alto Douro (UTAD)