high performance computing on graphics processing units: hgpu.org

Image Processing Production lines featuring industrial vision are becoming more and more widespread. That kind of automation needs systems able to capture pictures, analyze and learn from them in order to take appropriate action. These processes are often heavy and applied to high-definition images with important frame rate. Powerful calculators are thus needed to follow […]

In almost all cases, N-body simulations are limited by the computation time available. Coulomb interaction calculations scale with O(N^2) with N the number of particles. Approximation methods exist already to reduce the computation time to O(NlogN), although calculating the interaction still dominates the total simulation time. We present Simbuca, a simulation package for thousands of […]

This work reports on advances in large-scale multibody dynamics simulation facilitated by the use of the Graphics Processing Unit (GPU). A description of the GPU execution model along with its memory spaces is provided to illustrate its potential parallel scientific computing. The equations of motion associated with the dynamics of large system of rigid bodies […]

In the last decade, the importance of graphics capabilities have become very important in the mobile market. As a result low power embedded solutions for mobile devices have been eveloped to run computationally intensive graphics applications, which extensively uses floating point calculations. The work proposed in this thesis target the extension of the Silicon Hive […]

The typical goals for defining a control net for a NonUniform Rations B-spline (NURBs) based metamodel from a given set of data the desired result is the smallest set of control points in the least possible time while minimizing local and/or global error. Current metamodel fitting algorithms iteratively find and eliminate the largest sources of […]

This study is a first part of a longer project investigating hybrid and heterogeneous computing models in computational science. This is joint work with Fujitsu Laboratories Europe (FLE) with the purpose of developing numerical software libraries under the Open Petascale Libraries Project. We overview some current work and trends relating to petascale algorithms and their […]

Stereo matching algorithms and multi camera reconstruction algorithms are usually compared using benchmarks. These benchmarks compare the quality of the resulting depth map or reconstructed surface mesh. We describe the differences between several known stereo and multi-view stereo benchmarks and their various datasets. Also the modifications that are necessary to use our own GPU based […]

In recent years, graphics processing units (GPUs) have shown a significant advance of computational resources available for the use of non-graphical applications. The ability to solve problems involving parallel computing as well as the development of new architectures that supports this new paradigm, such as CUDA, has encouraged the use of GPU for general purpose […]

Real-time rendering of large animated crowds consisting thousands of virtual humans is important for several applications including simulations, games and interactive walkthroughs, but cannot be performed using complex polygonal models at interactive frame rates. For that reason, several methods using large numbers of pre-computed image-based representations, which are called as impostors, have been proposed. These […]

An on-line web application that interacts with an Internet user’s 3D webcam (e.g. Minoru stereo webcamera) is described. The application instantly captures and processes stereo images to retrieve 3D object coordinates for further 3D modelling tasks. It offers on-demand semi-automatic camera calibration and automatic image pair rectification for further stereo matching operations. The reconstructed 3D […]

In this paper we present a new pseudorandom number generator (PRNG) on graphics processing units (GPU). This PRNG is based on the so-called chaotic iterations. It is firstly proven to be chaotic according to the Devaney’s formulation. We thus propose an efficient implementation for GPU that successfully passes the BigCrush tests, deemed to be the […]

We report on our implementation of LatticeQCD applications using OpenCL. We focus on the general concept and on distributing different parts on hybrid systems, consisting of both CPUs (Central Processing Units) and GPUs (Graphic Processing Units).