high performance computing on graphics processing units: hgpu.org

We present a method that maps collisions on a dynamic deformable virtual character designed to be used for tactile haptic rendering in Immersive Virtual Reality (IVR). Our method computes exact intersections by relying on the use of programmable graphics hardware. Based on interference tests between deformable meshes (an avatar controlled by a human participant) and […]

The automotive industry is aggressively moving from physical prototyping to virtual prototyping.This trend is imperative for staying competitive in an industry that faces many challenges. The industry has recognized that simulation in key disciplines such as crash worthiness, noise and vibration, and fluid mechanics has matured to a high level. The decision is, no longer […]

A challenge in virtual reality based laparoscopic cholecystectomy simulation is to construct a fast and accurate deformable gallbladder model. This paper proposes a multi-layer mass-spring model which can adapt well to the built-in accelerating algorithms in PhysX-engine of GPU. The gallbladder is first segmented from clinical CT images. A multi-layer model based on the anatomical […]

The realistic modeling and rendering of ocean surface is one of hotspot and difficult problems of computer graphic. Most of the recent ocean wave simulation is based on plane and is in a limited region They didn’t consider the factor of Earth curvature and the edge between ocean and land, can’t be used on digital […]

Ultrasound B-mode imaging is the basic image mode which can offer anatomic information of organs for clinical diagnosis. Because of the massive computation involved in baseband processing from focused radio-frequency (RF) signals followed by envelop detection, compression and scan conversion required for high quality B-mode imaging, existing medical systems always rely on complicated hardware in […]

Accurate pedestrian recognition is required for practical applications such as automotive and security applications. To improve accuracy of recognition, accurate tracking is indispensable just as detection. The authors proposed a novel accurate tracking scheme using HOG features and its parallel implementation on GPU aiming real-time processing. However, the implementation does not have enough performance because […]

In the last three years, GPUs are more and more being used for general purpose applications instead of only for computer graphics. Programming these GPUs is a big challenge; in current GPUs the main bottleneck for many applications is not the computing power, but the memory access bandwidth. Two compile-time optimizations are presented in this […]

The representation of probabilistic graphical model often encodes a network whose size is unboundedly large. Such networks pose particular challenges to inference algorithms, specifically making the task of robot path queries highly inefficient due to poor locality of memory references. Whereas a more predictable, resolution complete method yields a highly compact graph structure that captures […]

Space is a very important aspect in the simulation of biochemical models, recently, the need for simulation algorithms able to cope with space is becoming more and more compelling. Complex and large models of biochemical systems need to deal with the movement of single molecules and particles, taking into consideration localised fluctuations, transportation phenomena and […]

This work proposes a scalable parallelization approach for H.264/AVC motion estimation on multi-cores, and its efficient implementation on the most recent Graphical Processing Units (GPUs). Very efficient motion estimators are achieved by applying efficient data reusing techniques and exploiting the computational power of the most recent GPUs. The proposed motion estimators have been programmed on […]

Road Sign Detection is a major goal of Advanced Driving Assistance Systems (ADAS). Since the dawn of this discipline, much work based on different techniques has been published which shows that traffic signs can be first detected and then classified in video sequences in real time. While detection is usually performed using classical computer vision […]

We are witnessing an increasing adoption of GPUs for performing general purpose computation, which is usually known as GPGPU. The main challenge in developing such applications is that they often do not fit in the model required by the graphics processing devices, limiting the scope of applications that may be benefit from the computing power […]