Szczegóły publikacji
Opis bibliograficzny
A visualization module for transparent parallel execution of cellular automata / Grzegorz BAZIOR, Andrea Giordano, Alessio De Rango, Davide Macrì, Giuseppe Mendicino, Luigi Rizzo, Rocco Rongo, Jarosław WĄS, William Spataro // W: Computational Science – ICCS 2026 workshops : 26th International Conference : Hamburg, Germany, June 29–July 1, 2026 : proceedings , Pt. 1 / eds. Maciej Paszyński, Amanda S. Barnard, Yongjie Jessica Zhang. — Cham : Springer, cop. 2026. — ( Lecture Notes in Computer Science ; ISSN 0302-9743 ; LNCS 16786 ). — ISBN: 978-3-032-29911-6; e-ISBN: 978-3-032-29912-3. — S. 321–336. — Bibliogr., Abstr. — Publikacja dostępna online od: 2026-06-26
Autorzy (9)
- AGHBazior Grzegorz
- Giordano Andrea
- de Rango Alessio
- Macrì Davide
- Mendicino Giuseppe
- Rizzo Luigi
- Rongo Rocco
- AGHWąs Jarosław
- Spataro William
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 168873 |
|---|---|
| Data dodania do BaDAP | 2026-07-09 |
| DOI | 10.1007/978-3-032-29912-3_25 |
| Rok publikacji | 2026 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Konferencja | International Conference on Computational Science 2026 |
| Czasopismo/seria | Lecture Notes in Computer Science |
Abstract
Transparent parallel execution of Cellular Automata (CA), or other grid-based numerical models, is an important topic enabling feasibility and scalability of large models used to simulate complex physical phenomena such as debris flows, hydrological, biological, and neuroscience systems. The need for transparency arises from the availability of heterogeneous parallel execution contexts, including CPU-based shared and distributed memory systems, GPU, and multi-GPU architectures. While several studies address the transparent execution of CA models across different platforms and optimization strategies, limited attention has been given to extending this transparency to the visualization module, which is essential for output analysis and debugging. This paper presents an integration layer that bridges the OpenCAL++ cellular automata framework with a Qt/VTK visualization tool. The proposed solution enables model-independent offline visualization by collecting OpenCAL++ output files and providing a stable interface for model-aware data interpretation. In addition to implementation details, we present examples of its application to different CA models.
