This paper reviews developments in general purpose computing on graphics processor
units (GPGPU computing) from the perspective of video-game-related artificial intelligence …

This paper introduces a novel and efficient data structure, called neighborhood grid, capable
of supporting large number of particle based elements on GPUs (graphics processing units) …

The aim of the study is threefold: firstly to compare the possibilities of using general-purpose
computing on graphics processing units (GPGPU) in continuous and discrete crowd …

There are many scientific applications ranging from weather prediction to oil and gas
exploration that requires high-performance computing. It aids industries and researchers to …

We propose a new approach for using GPUs in large scale simulations of pedestrian
evacuation. The Social Distances Model is designed for efficient modeling of pedestrian …

During the past few years, mobile phones and other mobile devices have gone from simple
phone and messaging devices to high end smartphones with serious computing …

The thesis covers three topics all centered in the context of point set processing. In the
following, we will shortly present each topic with its motivation, explain the performed …

Finding the nearest neighbors of a point is a highly used operation in many graphics
applications. Recently, the neighborhood grid has been proposed as a new approach for …

In this paper, we propose two new techniques for real-time crowd simulations; the first one is
the clustering of agents on the GPU and the second one is incorporating the global cluster …

Many graphics and also non-graphics applications need efficient techniques to find the
nearest neighbors of a given query point. There are two approaches to address this …