high performance computing on graphics processing units: hgpu.org

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 […]

Realistic objects simulation is important in visual reality and its performance is impacted by physical shape computation. Due to fast development and robust programmability of graphics hardware recently, much research takes advantage of GPU (Graphics Processing Unit) computation to accelerate simulations in virtual environment. This paper presents painting style synthesis that fully simulates image behaviors […]

This paper describes a method to correct the distortions in the images captured by a stereo video camera rig. We developed a code which can be implemented both on CPUs and GPUs which are used respectively to process still images or videos. The processing scheme is centered on the pre-calculation of a deformation texture, based […]

The aim of this paper is to show that a special kind of boundary value problem for second-order ordinary differential equations which reduces to the problem of solving a tridiagonal system of linear equations with almost Toeplitz structure can be efficiently solved on modern heterogeneous computer architectures based on CPU and GPU processors using an […]

In recent years, considerable research has been devoted to the efficient representation, modeling, processing and rendering of point-based models (point clouds). Due to their conceptual simplicity and superior flexibility, point-based representations evolved into a valuable alternative to polygonal meshes. This paper explores the problem of extracting direct visibility from point clouds without explicitly reconstructing the […]