high performance computing on graphics processing units: hgpu.org

In conventional vehicle driving simulation systems, the tracks effect does not alter the terrain surface topology that the tires interact with. In this paper, we propose a dynamic terrain visualization method based on modern Graphic Processing Unit features: vertex texture fetch, framebuffer object extension and shader technology. First, the height map to the initial terrain […]

The high performance of GPUs and the increasing use of their programming mechanisms have fostered the development of graphics applications that better exploit the raw power of these devices to achieve higher levels of realism. Silhouette refinement, as one of the techniques that help to improve realism, has profited from GPUs’ advances in recent years. […]

This paper deals with solving large instances of the Linear Sum Assignment Problems (LSAPs) under realtime constraints, using Graphical Processing Units (GPUs). The motivating scenario is an industrial application for P2P live streaming that is moderated by a central tracker that is periodically solving LSAP instances to optimize the connectivity of thousands of peers. However, […]

Recent developments in 3D low-light level CCD (L3CCD) image capture have enabled the study of the dynamics of biomedical bodies within cells. This paper firstly presents an improved algorithm for automatic segmentation of such imagery. It allows for the specific nature of noise in L3CCD data. Secondly, the massive volume of data produced by continuous […]

We explore the possibility of using GPUs for speculative execution: we implement software value prediction techniques to accelerate programs with limited parallelism, and software speculation techniques to accelerate programs that contain runtime parallelism, which are hard to parallelize statically. Our experiment results show that due to the relatively high overhead, mapping software value prediction techniques […]

The emergence of Graphics Processing Units (GPUs) as a potential alternative to conventional general-purpose processors has led to significant interest in these architectures by both the academic community and the High Performance Computing (HPC) industry. While GPUs look likely to deliver unparalleled levels of performance, the publication of studies claiming performance improvements in excess of […]

As a powerful and flexible processor, the Graphic Processing Unit (GPU) can offer great faculty in solving many high-performance computing applications. Sweep3D, which simulates a single group time-independent discrete ordinates (Sn) neutron transport deterministically on 3D Cartesian geometry space, represents the key part of a real ASCI application. The wavefront process for parallel computation in […]

Faster speed and higher accuracy are, and will always be pursued by computational scientists and engineers. To achieve these goals, single-core microprocessors were assembled to arrive at "parallel computing". This parallelism is recently extended to chiplevel with the emergence of multi- and many-core architectures-that is, roughly, adding more cores onto a single chip-in both Central […]

As a powerful and flexible processor, the Graphic Processing Unit (GPU) can offer a great faculty in solving many high-performance computing applications. Sweep3D, which simulates a single group time-independent discrete ordinates (Sn) neutron transport deterministically on 3D Cartesian geometry space, represents the key part of a real ASCI application. The wavefront process for parallel computation […]

High redshift measurements of the baryonic acoustic oscillation scale (BAO) from large Ly-alpha forest surveys represent the next frontier of dark energy studies. As part of this effort, efficient simulations of the BAO signature from the Ly-alpha forest will be required. We construct a model for producing fast, large volume simulations of the Ly-alpha forest […]

We present a mathematical framework for constructing and analyzing parallel algorithms for lattice Kinetic Monte Carlo (KMC) simulations. The resulting algorithms have the capacity to simulate a wide range of spatio-temporal scales in spatially distributed, non-equilibrium physiochemical processes with complex chemistry and transport micro-mechanisms. The algorithms can be tailored to specific hierarchical parallel architectures such […]

A novel framework for acceleration of particle filtering approaches to 3D model-based, markerless visual tracking in monocular video is described. Specifically, we present a methodology for partitioning and mapping the computationally expensive weight-update stage of a particle filter to a graphics processing unit (GPU) to achieve particle- and pixel-level parallelism. Nvidia CUDA and Direct3D are […]