high performance computing on graphics processing units: hgpu.org

Document clustering plays an important role in data mining systems. Recently, a flocking-based document clustering algorithm has been proposed to solve the problem through simulation resembling the flocking behavior of birds in nature. This method is superior to other clustering algorithms, including k-means, in the sense that the outcome is not sensitive to the initial […]

Research efforts to analyze biomolecular properties contribute towards our understanding of biomolecular function. Calculating non-bonded forces (or in our case, electrostatic surface potential) is often a large portion of the computational complexity in analyzing biomolecular properties. Therefore, reducing the computational complexity of these force calculations, either by improving the computational algorithm or by improving the […]

The last decade has witnessed the establishment of image processing as a viable means of aiding underwater navigation. However, many such systems are only implemented in pre-processing and offline due to their excessive computational demands. Real-time techniques often require special purpose hardware or impose limitations on the system to obtain real-time performance at the expense […]

The MSR (Multi-Scale Retinex) image enhancement algorithm can produce best performance in most cases, but the computation load is very huge especially for large image. In this paper, an efficient approach is proposed to accelerate MSR image enhancement speed on GPU via CUDA (Compute Unified Device Architecture). Time consuming modules such as multi-scale Gaussian filter, […]

The k-nearest neighbor (kNN) search problem is widely used in domains and applications such as classification, statistics, and biology. In this paper, we propose two fast GPU-based implementations of the brute-force kNN search algorithm using the CUDA and CUBLAS APIs. We show that our CUDA and CUBLAS implementations are up to, respectively, 64X and 189X […]

Graphical processing units (GPU) has been documented for the implementation of the FDTD technique. The use of these specialized processors for the implementation of numerical codes has been shown to significantly speed up the execution of these codes over standard CPU based solvers. With the execution of the FDTD method being reduced to a matter […]

Although the need for heterogeneous chips in high performance numerical computing was identified by Chillemi and co-authors in 2001 it is only over the past five years that it has emerged as the new frontier for HPC. In this environment one or more accelerators works symbiotically, on each node, with a multi-core CPU. Two such […]

Online rebinning is an important and well-established technique for reducing the time required to process PET data. However, the need for efficient data processing in a clinical setting is growing rapidly and is beginning to exceed the capability of traditional online processing methods. High-count rate applications such as rubidium 3-D PET studies can easily saturate […]

The use of Bioinformatic tools in routine clinical diagnostics is still facing a number of issues. The more complex and advanced bioinformatic tools become, the more performance is required by the computing platforms. Unfortunately, the cost of parallel computing platforms is usually prohibitive for both public and small private medical practices. This paper presents a […]

In this paper we present a background subtraction algorithm for a practical surveillance system, on a GPU. It utilizes a compressed non-parametric representation of the history of each pixel, using YCbCr color space, not requiring an offline training period. Although it can be parametrized to cope successfully with moving background, we rather focus on fulfilling […]

The encrypting time of traditional AES algorithm is too long to meet the need of fast encryption. For this point, the high-performance computing capability of Graphic Processing Unit has become the hot issue of research. This paper proposes that AES algorithm is improved by use of GPU’s high performance computing capability and compared with that […]

Operation such as offset, bisector and Medial Axis(MA) construction on NURBS surface is an important issue in the CAD/CAM application. One of the most difficulty problems in the computation of offset curve, offset MA and bisector construction is a directly subsequent removal of self-intersection loop. Many literatures have been reported by different technology such as […]