high performance computing on graphics processing units: hgpu.org

Programmable graphics processing units (GPUs) nowadays offer very high performance computing power at relatively low hardware cost and power consumption. In this paper, we present the implementation of the dynamics routine of the HIRLAM weather forecast model on the NVIDIA GeForce 9800 GX2 GPU card using the Compute Unified Device Architecture (CUDA) as parallel programming […]

As the system scales up continuously, the problem of power consumption for high performance computing (HPC) system becomes more severe. Heterogeneous system integrating two or more kinds of processors, could be better adapted to heterogeneity in applications and provide much higher energy efficiency in theory. Many studies have shown heterogeneous system is preferable on energy […]

We propose an area-based local stereo matching algorithm that yields accurate disparity estimates, while achieving the real-time speed completely on the graphics processing unit (GPU). For a local stereo method, the key challenge is to decide an appropriate support window for the pixel under consideration. Our stereo method starts with computing an upright local cross […]

The Graphical Processing Unit (GPU) has become a competitive general purpose computational hardware platform in the last few years. Recent improvements in GPUs highly parallel programming capabilities such as Compute Unified Device Architecture(CUDA) has lead to a variety of complex applications with tremendous performance improvements. Genetic Sequence alignment is considered to be one of the […]

This paper presents a real-time soft shadow rendering algorithm based on the shadow-mapping technique. The key idea of this algorithm is to use only a single shadow map for a flat extended light source. The algorithm also uses the single shadow map to discretize the occluders to many flat patches which are parallel with the […]

Recently, parallel computation has become necessary to take full advantage of the gains allowed by Moore’s law. Many scientific and engineering applications exhibit data parallelism but might not make full use of it. Some ubiquitous operations such that the dot product can easily be parallelized and then make good use of available hardware, like multi-core […]

We have designed a fast parallel simulator that solves the acoustic wave equation on a GPU cluster. Solving the acoustic wave equation in an oil exploration industrial context aims at speeding up seismic modeling and Reverse Time Migration. We consider a finite difference approach on a regular mesh, in both 2D and 3D cases. The […]

Fast Fourier Transform (FFT) is a useful tool for applications requiring signal analysis and processing. However, its high computational cost requires efficient implementations, specially if real time applications are used, where response time is a decisive factor. Thus, the computational cost and wide application range that requires FFT transforms has motivated the research of efficient […]

Discovering subtle alterations of pairs of images taken from the same scene at different time intervals is called minute change detection problem. To achieve this goal, we have developed a framework that captures and highlights minute changes in digital images that are otherwise hidden to the human eye. Moreover, unnoticeable differences from image pairs that […]

Depth-of-field blur effects are well-known depth cues in human vision. Computer graphics pipelines added DOF effects early to enhance imagery realism, but real-time VR applications haven’t yet introduced visual blur effects. The authors describe new techniques to improve blur rendering and report experimental results from a prototype video game implementation.

The video coding standard H.264 supports video compression with a higher coding efficiency than previous standards. However, this comes at the expense of an increased encoding complexity, in particular for motion estimation which becomes a very time consuming task even for today’s central processing units (CPU). On the other hand, modern graphics hardware includes a […]

This paper presents a new tool paths generation method for CNC machining based on GPU-CPU fusion calculation. CUDA, a general purpose parallel computing architecture, was provided by NVidia to resolve problems of mass data parallel computing. The new tool paths generation algorithm based on isoparametric method was redesigned to use CUDA. The final comparison experiment […]