Szczegóły publikacji
Opis bibliograficzny
Towards multi-agent simulations accelerated by GPU / Kamil PIĘTAK, Paweł TOPA // W: Parallel Processing and Applied Mathematics : 12th international conference, PPAM 2017 : Lublin, Poland, September 10-13, 2017 : revised selected papers, Pt. 2 / eds. Roman Wyrzykowski, [et al.]. — Switzerland : Springer International Publishing AG, cop. 2018. — (Lecture Notes in Computer Science ; ISSN 0302-9743 ; LNCS 10778. Theoretical Computer Science and General Issues ; ISSN 0302-9743). — ISBN: 978-3-319-78053-5; e-ISBN: 978-3-319-78054-2. — S. 456-465. — Bibliogr. s. 464–465, Abstr.
Autorzy (2)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 116638 |
|---|---|
| Data dodania do BaDAP | 2018-09-25 |
| DOI | 10.1007/978-3-319-78054-2_43 |
| Rok publikacji | 2018 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Konferencja | Parallel Processing and Applied Mathematics : 12th international conference |
| Czasopisma/serie | Lecture Notes in Computer Science, Theoretical Computer Science and General Issues |
Abstract
At present, GPUs (Graphics Processing Units) are commonly used to speedup any kind of computations. In this paper we present how GPUs and Nvidia CUDA can be used to accelerate the updating of and agent state in Multi-Agent Simulations. We use the AgE (Agent Evolution) software framework written in Java, which supports agent-based computations. In our simulations agents represent living organisms that interact with the virtual habitat and with each other. At each step of the simulation thousands of agents update their state according to a defined set of rules. We use Java bindings for CUDA (JCUDA) to move massive computations to GPU.