high performance computing on graphics processing units: hgpu.org

Many large combinatorial optimization problems tackled with evolutionary algorithms often require very high computational times, usually due to the fitness evaluation. This fact forces programmers to use clusters of computers, a computational solution very useful for running applications of intensive calculus but having a high acquisition price and operation cost, mainly due to the Central […]

With the improvement of cryptanalysis, More and more applications are starting to use Advanced Encryption Standard (AES) instead of Data Encryption Standard (DES) to protect their information security. However, current implementations of AES algorithm suffer from huge CPU resource consumption and low throughput. In this paper, we studied the technologies of GPU parallel computing and […]

Graphics Processing Units (GPUs) are suitable for highly data parallel algorithms such as image processing, due to their massive parallel processing power. Many image processing applications use the histogramming algorithm, which fills a set of bins according to the frequency of occurrence of pixel values taken from an input image. Histogramming has been mapped on […]

An intra-prediction mode with 4×4 block and 16×16 block sizes for luma component and 8×8 block size for chroma component is used in H.264 to improve the rate-distortion performance. However, the computational complexity of H.264 encoder is drastically increased due to the various intraprediction modes. Recently efficient hardware architectures were proposed for the fast execution […]

Modern GPUs have emerged as the world’s most successful parallel architecture. GPUs provide a level of massively parallel computation that was once the preserve of supercomputers like the MasPar and Connection Machine. For example, NVIDIA’s GeForce GTX 280 is a fully programmable, massively multithreaded chip with up to 240 cores, 30,720 threads and capable of […]

This article brings an interesting comparison of two different methods, which were implemented on GPU and help us to detect system intrusions. Generally, both of them can be widely used in the area of information retrieval. The modern trends of parallel computation have a significant influence on performance of implemented methods (Non-negative Matrix Factorization (NMF) […]

This paper introduces an approach to interactively compute two-sided refraction on GPU and gains comparable realistic effects with ray tracing, while most current interactive techniques are restricted to single refraction. Our approach is also efficient for total internal reflection (TIR). When processing rigid movable object, we render the object’s normal to a cube map first […]

A method for animating and rendering large grass scenery in real-time is presented. The grass scenery consists of geometry-based grass blades and image-based quads covered with clumps of grass texture. Geometry-based grass blades are rendered for animating interactively for grass scenery close to camera. Imaged-based quads covered with clumps of grass texture are rendered for […]

This paper will discuss the method of simulating ocean waves basing on statistic model and GPU programming. In the method, the ocean surface is viewed as a height field, which is obtained by Phillips spectrum and 2D FFT. In order to realize the realistic scene, we take full advantage of the extended functions of GPU […]

Laser scanning confocal endomicroscopy (LSCEM) is emerging as an in vivo 3D cellular imaging technology. However, the image datasets acquired from LSCEM are generally with low z-depth resolution, which causes artifacts in volume rendering. Intermediate data between consecutive images needs to be generated. One common solution uses trilinear interpolation which more or less reduces the […]

Graphics processing units (GPUs) have emerged as a powerful platform for high-performance computation. They have been successfully used to accelerate many scientific workloads. Typically, the computationally intensive parts of the application are offloaded to the GPU, which serves as the CPU’s parallel coprocessor. The key to effective utilization of GPUs for scientific computing is the […]

In this paper, we present a GPU based video stylization framework that can artistically stylize video stream in real time. In this framework, firstly, we use a separable implementation of bilateral filter as an adaptive and iterative smoothing operation that selectively simplifies image color, leading to an abstracted look. Secondly, we perform a soft color […]