Szczegóły publikacji
Opis bibliograficzny
Towards effective GPU implementation of social distances model for mass evacuation / Adrian Kłusek, Paweł TOPA, Jarosław WĄS // W: Parallel Processing and Applied Mathematics : 11th international conference, PPAM 2015 : Krakow, Poland, September 6–9, 2015 : revised selected papers, Pt. 2 / eds. Roman Wyrzykowski, [et al.]. — Swizerland : Springer International Publishing, cop. 2016. — (Lecture Notes in Computer Science ; ISSN 0302-9743 ; 9574). — ISBN: 978-3-319-32151-6; e-ISBN: 978-3-319-32152-3. — S. 550–559. — Bibliogr. s. 558–559, Abstr.
Autorzy (3)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 97575 |
|---|---|
| Data dodania do BaDAP | 2016-05-13 |
| DOI | 10.1007/978-3-319-32152-3_51 |
| Rok publikacji | 2016 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Konferencja | Parallel Processing and Applied Mathematics |
| Czasopisma/serie | Lecture Notes in Computer Science, Theoretical Computer Science and General Issues |
Abstract
The Social Distances (SD) model for massive evacuation is based on a Cellular Automata and agent-based representation of pedestrians. When parallel processors are used, this approach creates a high performance simulation. In this paper, we present a new algorithm for Social Distance that is highly optimized for GPU computations. The orig- inal algorithms were redesigned in order to efficiently exploit the power of graphics processors. The performance of the SD model executed on a GPU is several times greater than the performance of the same algorithm executed on a normal CPU. It is now possible to simulate at least 106 pedestrians in real time.