high performance computing on graphics processing units: hgpu.org

In this paper, we present an efficient voxelization algorithm for complex polygonal models by exploiting newest programmable graphics hardware. We first convert the model into three discrete voxel spaces according to its surface orientation. The resultant voxels are encoded as 2D textures and stored in three intermediate sheet buffers called directional sheet buffers. These buffers […]

We discuss an implementation of our 3D radiative transfer (3DRT) framework with the OpenCL paradigm for general GPU computing. We implement the kernel for solving the 3DRT problem in Cartesian coordinates with periodic boundary conditions in the horizontal $(x,y)$ plane, including the construction of the nearest neighbor $Lstar$ and the operator splitting step. We present […]

Diffraction calculations, such as the angular spectrum method, and Fresnel diffractions, are used for calculating scalar light propagation. The calculations are used in wide-ranging optics fields: for example, computer generated holograms (CGHs), digital holography, diffractive optical elements, microscopy, image encryption and decryption, three-dimensional analysis for optical devices and so on. However, increasing demands made by […]

Tracking 3d pose of a known object is one of the most important problems in computer vision. This paper proposes an appearance-based approach to this problem by combining the sparse template matching and the particle filter. Although the combination of them has already been discussed for 2d tracker, it has not been applied for efficient […]

This paper presents an efficient image-based rendering system capable of performing online stereo matching and view synthesis at high speed, completely on the graphics processing unit (GPU). Given two rectified stereo images, our algorithm first extracts the disparity map with a stream-centric dense depth estimation approach. For high-quality view synthesis, multi-label masks are then automatically […]

Reduced order modelling, in which a full system response is projected onto a subspace of lower dimensionality, has been used previously to accelerate finite element solution schemes by reducing the size of the involved linear systems. In the present work we take advantage of a secondary effect of such reduction for explicit analyses, namely that […]

Artificial neural networks are a key tool for researchers attempting to understand and replicate the behaviour and intelligence found in biological neural networks. Software simulations offer great flexibility and the ability to select which aspects of biological networks to model, but are slow when operating on more complex biologically plausible models; while dedicated hardware solutions […]

The basis graph with five vertices has been commonly used in the GPU-accelerated Project Tetrahedra algorithm because of the inability to create or delete vertices within a vertex program and the fixed topological constraints of submitted vertices. However, it is so complicated that projecting a tetrahedron need to render four triangles. In this paper, we […]

Modern applications require powerful high-performance platforms to deal with many different algorithms that make use of massive calculations. At the same time, low-cost and high-performance specific hardware (e.g., GPU, PPU) are rising and the CPUs turned to multiple cores, characterizing together an interesting and powerful heterogeneous execution platform. Therefore, self-adaptive computing is a potential paradigm […]

Histograms are commonly used in instrumentation to produce a visual representation of the probability density of a random signal from repeated measurements. However, histograms have a number of shortcomings as a method of data visualization. We propose using kernel density estimation as a replacement for histograms in instrumentation. Kernel density estimation has a number of […]

In this paper, a feature for human detection from still image is proposed. A multi scale block histogram of template feature (MB-HOT) is developed for human detection by extending the template level in the feature extraction. It integrates gray value information and gradient value information, and reflects relationship of three blocks. The feature is extracted […]

We consider Monte Carlo simulations of classical spin models of statistical mechanics using the massively parallel architecture provided by graphics processing units (GPUs). We discuss simulations of models with discrete and continuous variables, and using an array of algorithms ranging from single-spin flip Metropolis updates over cluster algorithms to multicanonical and Wang-Landau techniques to judge […]