Important dates
- Submission of papers
- May 5, 2026May 19, 2026
- Notification of acceptance
- June 17, 2026July 8, 2026
- Conference
- August 30 – September 2, 2026
- Camera-ready papers
- November 3, 2026
Call for papers
Global Challenges (GC) address problems that require interdisciplinary expertise, and demand solutions at scale due to their inherent complexity. GC aims to explore synergies between modelling, data acquisition, simulation, data analysis and visualisation along with achieving better scalability on current and future High-Performance Computing (HPC), High-Performance Data Analytics (HPDA) and Artificial Intelligence (AI) infrastructures, to deliver highly-scalable solutions that can effectively use pre-exascale systems.
The Workshop on Advancements of Global Challenges Applications (AGCA) is intended to be a forum for discussion of ideas for the development of high-scale simulation applications tackling GC demands, with particular emphasis on their scalability, efficiency, AI and co-design. We are looking for original papers that report measured results and reproducible evaluation of high-scale GC applications and supporting methods, including performance engineering, data/AI workflows and application–hardware co-design.
Topics
We welcome topics including (but not limited to):
A · Global Challenges applications & case studies
- Large-scale GC case studies, including CFD and Agent-Based Modelling
- Digital twins of multi-scale, coupled GC workflows
- Validation, benchmarking and reproducible evaluation of GC workloads
B · Algorithms & methods at scale
- Surrogate / reduced-order modelling and scalable solvers for GC simulations
- Load balancing and runtime scheduling for parallel/distributed GC applications
- Performance-portable programming models and algorithmic adaptivity
C · Performance engineering, co-design & sustainability
- Application-hardware co-design for HPC/AI systems
- Performance analysis methodologies, profiling and optimisation
- Energy efficiency, power-aware optimisation and cost/performance trade-offs
D · AI, HPDA & data management
- Data analytics and AI methods supporting GC simulations and pipelines
- In-situ / in-transit analytics and scalable data processing (methods and pipelines)
- Efficient data management: storage, I/O, transfer and metadata at scale
E · Platforms, architectures & visualisation
- Emerging architectures and accelerators for GC applications
- Workflow systems and pipeline orchestration for multi-stage GC scenarios (tooling and middleware)
- Visualisation and interactive / immersive analysis of large simulation datasets
Paper submission and publication
The rules of the PPAM conference apply. Papers will be refereed and accepted on the basis of their scientific merit, relevance to the workshop topics, originality, correctness and quality of presentation. Papers cannot be previously published or submitted for publication elsewhere. Full papers should not exceed 15 pages; we also consider extended abstracts of 4 pages. Only full papers will be published in proceedings.
Please submit papers via the PPAM Conference submission system (EasyChair, look for the AGCA track), formatted according to the PPAM specification (LNCS style). Submissions should be prepared for double-blind review, i.e., without author names or other identifying material. Authors should refer to themselves in the third person when citing their own work. We encourage authors to provide performance data, scripts or containers in the form of links to external repositories (not mandatory).
All full papers will be subject to the "Best Paper for Workshops" competition.
Journal special issue
The authors of the best articles selected by the programme committee and the guest editors will be invited to submit extended versions of their work to high-quality journal special issues such as Future Generation Computer Systems, International Journal of High Performance Computing Applications, Journal of Parallel and Distributed Computing, and International Journal of Parallel Programming. Invitation does not guarantee acceptance — standard peer review applies.
Workshop chairs
-
Marcin Lawenda
Poznań Supercomputing and Networking Center, Poland -
Łukasz Szustak
Częstochowa University of Technology, Poland
Programme committee
- Mario Acosta
Barcelona Supercomputing Center, Spain - Rossen Apostolov
National Academic Infrastructure for Supercomputing in Sweden, Sweden - Edouard Audit
CEA, France - Flavio Cesar Cunha Galeazzo
University of Stuttgart, Germany - Derek Groen
Brunel University London, UK - Dennis Hoppe
University of Stuttgart, Germany - Zoltán Horváth
Eötvös Loránd University, Hungary - László Környei
University of Győr, Hungary - Harald Köstler
Friedrich-Alexander-Universität, Germany - Stefano Markidis
KTH Royal Institute of Technology, Sweden - Matthias Meinke
RWTH Aachen University, Germany - Kengo Nakajima
The University of Tokyo, Japan - Konstantinos Nikas
National Technical University of Athens, Greece - Nikela Papadopoulou
University of Glasgow, UK - Christophe Prud'homme
Strasbourg University, France - Luis Torres
MeteoGRID, Spain
Contact
Marcin Lawenda
Poznań Supercomputing and Networking Center
ul. Jana Pawła II 10, 61-139 Poznań, Poland
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