SciELO - Scientific Electronic Library Online

 
vol.18 issue4Open Framework for Web Service Selection Using Multimodal and Configurable Techniques author indexsubject indexsearch form
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

  • Have no similar articlesSimilars in SciELO

Share


Computación y Sistemas

Print version ISSN 1405-5546

Abstract

HERNANDEZ, Benjamín et al. Simulating and Visualizing Real-Time Crowds on GPU Clusters. Comp. y Sist. [online]. 2014, vol.18, n.4, pp.651-664. ISSN 1405-5546.  http://dx.doi.org/10.13053/CyS-18-4-2060.

We present a set of algorithms for simulating and visualizing real-time crowds in GPU (Graphics Processing Units) clusters. First we present crowd simulation and rendering techniques that take advantage of single GPU machines. Then, using as an example a wandering crowd behavior simulation algorithm, we explain how this kind of algorithms can be extended for their use in GPU cluster environments. We also present a visualization architecture that renders the simulation results using detailed 3D virtual characters. This architecture is adaptable in order to support the Barcelona Supercomputing Center (BSC) infrastructure. The results show that our algorithms are scalable in different hardware platforms including embedded systems, desktop GPUs, and GPU clusters, in particular, the BSC's Minotauro cluster.

Keywords : Crowd simulation; visualization; HPC; GPU-clusters; real-time; embedded systems.

        · text in English     · English ( pdf )

 

Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License