high performance computing on graphics processing units: hgpu.org

GPU platforms are becoming increasingly attractive for implementing accelerators because they feature a larger number of cores with improved programmability. In this paper, we describe our implementation of a state-of-the-art academic multi-level analytical placer mPL on Nvidia’s massively parallel GT200 series platforms. We detail our efforts on performance tuning and optimizations. When compared to software […]

The Coarse-Grained Monte Carlo (CGMC) method is a multi-scale stochastic mathematical and simulation framework for spatially distributed systems. CGMC simulations are important tools for studying phenomena such as catalysis, crystal growth, surface diffusion, phase transitions on single crystals, and cell membrane receptor dynamics. In parallel CGMC, the tau-leap method is used for parallel simulations that […]

We present a real-time reverse radiosity method for compensating indirect scattering effects that occur with immersive and semi-immersive projection displays. It computes a numerical solution directly on the GPU and is implemented with pixel shading and multi-pass rendering which together realizes a Jacobi solver for sparse matrix linear equation systems. Our method is validated and […]

Illustrative visualization of complex vasculature has been one of the indispensable components in medical education and training. In this paper, we propose a rendering pipeline which incorporates various perception-aware techniques for informative vascular illustration. Chromostereopsis rendering, isophote-based line hatching, and enhanced silhouette drawing have been integrated seamlessly through multiple shader passes. With advanced GPU acceleration […]

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 […]