high performance computing on graphics processing units: hgpu.org

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 […]

A shadow generation method using GPU features is presented. It is based on shadow volumes and it use z-fail to get the real-time shadow. It can ease the contradiction between improving the accuracy of image and limited memory space. It use OpenGL to program for verification. The result is that it use less time and […]

Recent developments in Graphics Processing Units (GPUs) have enabled inexpensive high performance computing for general-purpose applications. Due to GPU’s tremendous computing capability, it has emerged as the co-processor of CPU to achieve a high overall throughput. CUDA programming model provides the programmers adequate C language like APIs to better exploit the parallel power of the […]

Artificial intelligence (Al) functions are becoming important in smartphones, portable game consoles, and robots for such intelligent applications as object detection, recognition, and human-computer interfaces (HCI). Most of these functions are realized in software with neural networks (NN) and fuzzy systems (FS), but due to power and speed limitations, a hardware solution is needed. For […]

We present a method for reconstruction of the visual hull (VH) of an object in real-time from multiple video streams. A state of the art polyhedral reconstruction algorithm is accelerated by implementing it for parallel execution on a multi-core graphics processor (GPU). The time taken to reconstruct the VH is measured for both the accelerated […]