Graphics processing units (GPUs) have traditionally been used in molecular modeling solely
for visualization of molecular structures and animation of trajectories resulting from …

We implement a high-order finite-element application, which performs the numerical
simulation of seismic wave propagation resulting for instance from earthquakes at the scale …

An approach is developed to perform explicit time domain finite element simulations of
elastodynamic problems on the graphical processing unit, using Nvidiaʼs CUDA. Of critical …

Node level heterogeneous architectures have become attractive during the last decade for
several reasons: compared to traditional symmetric CPUs, they offer high peak performance …

Large-scale GPU clusters are gaining popularity in the scientific computing community.
However, their deployment and production use are associated with a number of new …

We port a high-order finite-element application that performs the numerical simulation of
seismic wave propagation resulting from earthquakes in the Earth on NVIDIA GeForce 8800 …

Abstract Digital Image Correlation (DIC) is a powerful technique to provide full-field
displacement measurements for mechanical tests of materials and structures. The …

Nowadays, NVIDIA's CUDA is a general purpose scalable parallel programming model for
writing highly parallel applications. It provides several key abstractions–a hierarchy of thread …

Graphics processing units (GPUs) have become an attractive option for accelerating
scientific computations as a result of advances in the performance and flexibility of GPU …

For many applications two-dimensional hydraulic models are time intensive to run due to
their computational requirements, which can adversely affect the progress of both research …