Data-parallel agent-based microscopic road network simulation using graphics processing units

Data-parallel agent-based microscopic road network simulation using graphics processing units

Road network microsimulation is computationally expensive, and existing state of the art commercial tools use task parallelism and coarse-grained data-parallelism for multi-core processors to achieve improved levels of performance. An alternative is to use Graphics Processing Units (GPUs) and fine-grained data parallelism. This paper describes a GPU accelerated agent based microsimulation model...

Parallel Agent-based Modelling of Land-Use Opinion Dynamics Using Graphics Processing Units

Data Mining Using Graphics Processing Units

During the last few years, Graphics Processing Units (GPU) have evolved from simple devices for the display signal preparation into powerful coprocessors that do not only support typical computer graphics tasks such as rendering of 3D scenarios but can also be used for general numeric and symbolic computation tasks such as simulation and optimization. As major advantage, GPUs provide extremely ...

Parallel Genetic Programming on Graphics Processing Units

In program inference, the evaluation of how well a candidate solution solves a certain task is usually a computationally intensive procedure. Most of the time, the evaluation involves either submitting the program to a simulation process or testing its behavior on many input arguments; both situations may turn out to be very time-consuming. Things get worse when the optimization algorithm needs...

Highly Parallel Implementation of NeuroJet using Graphics Processing Units

This paper presents the parallel implementation of NeuroJet, a neural network simulation program, using GPUs. To help researchers study different correlation among applications, programming models, and underlying hardware architectures, NeuroJet is examined as a case study to provide insights and findings specific to GPU programming. We demonstrate the importance of programmer effort through ou...