high performance computing on graphics processing units: hgpu.org

Point-based geometries evolved into a valuable alternative to surface representations based on polygonal meshes, because of their conceptual simplicity and superior flexibility. Elliptical surface splats were shown to allow for high-quality anti-aliased rendering by sophisticated EWA filtering. Since the publication of the original software-based EWA splatting, several authors tried to map this technique to the […]

Multi-dimensional imaging techniques involve the processing of high resolution images commonly used in medical, civil and remote-sensing applications. A barrier commonly encountered in this class of applications is the time required to carry out repetitive operations on large matrices. Partitioning these large datasets can help improve performance, and lends the data to more efficient parallel […]

We present an energy model for a graphics processing unit (GPU) that is based on the amount and type of work performed in various parts of the unit. By designing and running directed tests on a GPU, we measure the energy consumed when performing different arithmetic and memory operations, allowing us to accurately predict the […]

Now high-throughput sequencing technologies can yield a huge volume of sequence data with affordable price, the explosion rate of sequence data is outpacing the performance improvement of CPU, which means trivial sequence analysis task may challenge existing serial programs running purely on CPU. This paper depicts a highly parallel sequence translation program running on a […]

This paper proposes a GPU-accelerated patch search engine that efficiently Alls the unknown regions of an image caused by replacement or removal of part of the foreground. Previous approaches, such as inpainting and texture synthesis, are either fast, but not applicable for small-scale regions, or slow, but fills large regions with good quality. The algorithm […]

In this paper we present a method to compute and visualize volumetric white matter connectivity in diffusion tensor magnetic resonance imaging (DT-MRI) using a Hamilton-Jacobi (H-J) solver on the GPU (graphics processing unit). Paths through the volume are assigned costs that are lower if they are consistent with the preferred diffusion directions. The proposed method […]

Sort-last parallel rendering is an efficient technique to visualize huge datasets on COTS clusters. The dataset is subdivided and distributed across the cluster nodes. For every frame, each node renders a full resolution image of its data using its local GPU, and the images are composited together using a parallel image compositing algorithm. In this […]

Graphic Processing Units (GPUs) is a low-cost parallel programmable co-processor that can deliver extremely high computation throughput and is well suited for large-scale system design and simulation. In this paper, we utilize the parallel processing power of GPU to accelerate the simulation of MIMO systems. In our work, flat fading channel is considered and an […]

A Coarse Grain Reconfigurable Architecture (CGRA) tailored for accelerating bio-informatics algorithms is proposed. The key innovation is a light weight bio-informatics processor that can be reconfigured to perform different Add Compare and Select operations of the popular sequencing algorithms. A programmable and scalable architectural platform instantiates an array of such processing elements and allows arbitrary […]

Random Walks has less interaction, better accuracy and higher computing independency. We introduce local intensity entropy to modify the weight function in Random Walks, in order to consider not only the intensity change of adjacent pixels, but also the statistical features of regions. Then we put forward a real-time interactive object extraction system for high […]

This paper presents the latest research and developments in Modular Technology. That is, the optimized repetition of the same geometry or module, for the generation of large virtual environments for the simulators that are designed by CITEF. The current trend is on redirecting the maximum possible share of graphical calculation to the GPU to lighten […]

We present a real-time multisensor architecture for combined laser scanner and infra-red video-based pedestrian detection and tracking used within a road side unit for intersection assistance. In order to achieve outmost classification performance we propose a cascaded classifier using laser scanner hypothesis generation and histogram of oriented gradients (HOG) descriptors for video-based classification together with […]