Szczegóły publikacji
Opis bibliograficzny
Scaling simulation of continuous urban traffic model for high performance computing system / Mateusz NAJDEK, Hairuo Xie, Wojciech TUREK // W: Computational Science – ICCS 2021 : 21st international conference : Krakow, Poland, June 16–18, 2021 : proceedings, Pt. 1 / eds. Maciej Paszyński, [et al.]. — Cham : Springer Nature Switzerland, cop. 2021. — (Lecture Notes in Computer Science ; ISSN 0302-9743 ; LNCS 12742. Theoretical Computer Science and General Issues ; ISSN 0302-9743). — ISBN: 978-3-030-77960-3; e-ISBN: 978-3-030-77961-0. — S. 256–263. — Bibliogr., Abstr. — Publikacja dostępna online od: 2021-09-06
Autorzy (3)
- AGHNajdek Mateusz
- Xie Hairuo
- AGHTurek Wojciech
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 134701 |
|---|---|
| Data dodania do BaDAP | 2021-06-23 |
| DOI | 10.1007/978-3-030-77961-0_22 |
| Rok publikacji | 2021 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Konferencja | International Conference on Computational Science 2021 |
| Czasopisma/serie | Lecture Notes in Computer Science, Theoretical Computer Science and General Issues |
Abstract
Urban traffic simulation of extensive areas with complex driver models poses a significant computational challenge. Developing highly scalable parallel simulation algorithms is the only feasible way to provide useful results in this case. In this paper, we present extensions of the SMARTS system, a traffic simulation tool, which provides efficient scalability with a large number of parallel processes. The presented extensions enabled its scalability for HPC-grade systems. The extended version has been thoroughly tested in strong and weak scalability scenarios for up to 2400 computing cores of a supercomputer. The satisfactory scalability has been achieved by introducing several significant improvements, which have been discussed in details.
