high performance computing on graphics processing units: hgpu.org

We provide a physically-based framework for simulating the natural phenomena related to heat interaction between objects and the surrounding air. We introduce a heat transfer model between the heat source objects and the ambient flow environment, which includes conduction, convection, and radiation. The heat distribution of the objects is represented by a novel temperature texture. […]

Parallel computing in heterogeneous environments is drawing considerable attention due to the growing number of these kind of systems. Adapting existing code and libraries to such systems is a fundamental problem. The performance of this code is affected by the large interdependence between the code and these parallel architectures. We have developed a dynamic load […]

The paper intensively analyzed and researched video playing technology in virtual education environment, which is an application of Pervasive Computing focusing on demand for some important application field with visual technology, proposed a suit of effective settlement making use of decoding, data compressing, texture mapping and the GPU’s parallel computing ability which improved the efficiency […]

We demonstrate the application of advanced 3D visualization techniques to determine the optimal implant design and position in hip joint replacement planning. Our methods take as input the physiological stress distribution inside a patient’s bone under load and the stress distribution inside this bone under the same load after a simulated replacement surgery. The visualization […]

Octrees are attractive data structures for rendering of volumes, as they provide simultaneously uniform and hierarchical data encapsulation. We present a simple and efficient algorithm for interactive ray tracing on a hybrid architectures, which takes advantage of the parallelism present by heavily exploiting the hardware for the CPU and GPU, which has been observed to […]

The Embarrassingly Parallel (EP) is one kernel benchmark of NAS Parallel Benchmarks (NPB). EP generates pairs of Gaussian Random Deviates (GRDs) of large random numbers which produced by Linear Congruential Generator (LCG). In this paper, the Hybrid EP is efficient implemented on CPU/GPU heterogeneous platform. Experimental results show that the Hybrid EP is 11.98 times […]

Rate-distortion (RD) optimized intra-prediction mode selection can lead to significant improvement in coding efficiency in intra-frame encoding. However, it would incur considerable increase in encoding complexity. In this paper, we investigate how multi-core Graphics Processing Units (GPUs) can be efficiently utilized to undertake the task of RD optimized intra mode selection in AVS and H.264 […]

In the last decades there is an exponential growth in the amount of genomic data that need to be analyzed. A very important problem in biology is the extraction of the biologically functional genomic DNA from the actual genome of the organisms. There have been proposed many computational biology algorithms that solve the gene finding […]

There are several techniques for automatic music visualization, which are included with virtually any media player. The basic ingredient of those techniques is spectral analysis of the sound, used to automatically generate parameters for procedural image generation. However, only a few music visualizations rely on 3D models. This paper proposes to use spectral mesh processing […]

As vision algorithms mature with increasing inspiration from the learning community, statistically independent pseudo random number generation (PRNG) becomes increasingly important. At the same time, execution time demands have seen algorithms being implemented on evolving parallel hardware such as GPUs. The Mersenne Twister (MT) has proven to be the current state of the art for […]

In current video see-through augmented reality system, natural interaction between real and virtual worlds is impossible. We analyze its cause and propose a new mode which is named mix before projection to combine real and virtual worlds for AR. Under this framework, we develop a tool named space registration particle (SRP) and speed multi-pass GPU […]

In this paper, a hybrid parallel computing framework is proposed for video understanding and retrieval. It is a unified computing architecture based on the Map-Reduce programming model, which supports multi-core and GPU architectures. A key task scheduler is designed for the parallelization of computation tasks. The SVM method is used to train models for video […]