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AGCA@PPAM 2026 : AGCA 2026 - 2nd Workshop on Advancements of Global Challenges Applications | |||||||||||||||
| Link: https://ppam.edu.pl/docs/workshops/PPAM2026%20AGCA%20ver.0.8.pdf | |||||||||||||||
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Call For Papers | |||||||||||||||
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CFP: AGCA 2026 — 2nd Workshop on Advancements of Global Challenges Applications (AGCA)
(held in conjunction with PPAM 2026 — 16th International Conference on Parallel Processing and Applied Mathematics) The Workshop on Advancements of Global Challenges Applications is intended to be a forum for discussion ideas for the development of high-scale simulation applications for tackling Global Challenges 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. Workshop website / CFP PDF: https://ppam.edu.pl/docs/workshops/PPAM2026%20AGCA%20ver.0.8.pdf Conference website (PPAM 2026): https://ppam.edu.pl When: August 30 – September 2, 2026 Where: Poznań, Poland Topics (include but are not limited to): A) Global Challenges applications and 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 and methods at scale - Surrogate/reduced-order modeling 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 and sustainability - Application-hardware co-design for HPC/AI systems - Performance analysis methodologies, profiling and optimization - Energy efficiency, power-aware optimization and cost/performance trade-offs D) AI, HPDA and 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 and visualization - Emerging architectures and accelerators for GC applications - Workflow systems and pipeline orchestration for multi-stage GC scenarios (tooling and middleware) - Visualization and interactive/immersive analysis of large simulation datasets Paper submission and publication: Please submit papers via the PPAM Conference submission system (EasyChair) — look for the AGCA track, formatted according to the PPAM specification (LNCS style). Double-blind review: submissions should not include author names or identifying material; cite your own work in the third person. Papers must be original and not previously published or submitted elsewhere. Length: full papers should not exceed 15 pages (LNCS); extended abstracts of 4 pages are also considered. Proceedings: only full papers will be published in the proceedings. Authors are encouraged (not mandatory) to provide performance data, scripts or containers via external repositories. All full papers will be subject to the “Best Paper for Workshops” competition. Journal special issue (post-workshop): Authors of the best articles selected by the program committee and guest editors will be invited to submit extended versions 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, International Journal of Parallel Programming. Invitation does not guarantee acceptance; standard peer review applies. Important dates: - Paper submission: May 5, 2026 - Notification of acceptance: June 17, 2026 - Camera-ready papers: November 3, 2026 - Conference / workshop: August 30 – September 2, 2026 Workshop chairs: Marcin Lawenda, Poznan Supercomputing and Networking Center, Poland Łukasz Szustak, Czestochowa University of Technology, Poland Contact: Marcin Lawenda (PCSS) Email: lawenda@man.poznan.pl |
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