high performance computing on graphics processing units: hgpu.org

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 […]

This paper deals with a real-time image based relighting system for tangible video teleconference. The proposed image based relighting system renders the extracted human object using the virtual environmental images. The proposed system can homogenize virtually the lighting environments of remote users on the video teleconference, or render the humans like they are in the […]

In this article, we adopt Jin et al.’s GPU-based method to solve the Navier-Stokes equations and model the fluid evolution of the patterning process. Based on this method, we add more flexible dye injection operations and more locally controllable pattern design tools. We based our nondissipative solver on semi-Lagrangian methodology, which eliminates the blur artifacts […]

A fully functional Virtual Reality (VR) surgical simulator often captures maximum CPU capacity due to computationally intensive tasks such as collision detection and response, physics simulation, fluid simulation, haptics etc. In order to maintain interactive rates, these major components are given high priority in sharing limited computational resource. Therefore, smoke and bleeding models that have […]