high performance computing on graphics processing units: hgpu.org

Classical smoke simulation methods based on Computational Fluid Dynamics (CFD) are rather expensive that cannot be used in real-time systems. In this paper, a method based on Simplex noise is proposed to achieve high realistic effects of explosion smoke. The colors of the smoke particles are disturbed by 3D Simplex-Noise and faded according to time, […]

The localized radial symmetric function, or blob, is an ideal alternative to the pixel basis for X-ray computed tomography (CT) image reconstruction. In this paper we develop image representation models using blob, and propose reconstruction methods for few projections data. The image is represented in a shift invariant space generated by a Gaussian blob or […]

The performance potential for simulating quantum electron transport on graphical processing units (GPUs) is studied. Using graphene ribbons of realistic sizes as an example it is shown that GPUs provide significant speed-ups in comparison to central processing units as the transverse dimension of the ribbon grows. The recursive Green’s function algorithm is employed and implementation […]

In this paper, we present a novel parallel implementation of HARRIS and DOG detector on GPU for feature extractions of Patch-based Multi-View Stereo (PMVS) algorithm in image sequence. With the Compute Unified Device Architecture(CUDA)-enabled GPU, the acceleration is significant and it obtains a 34 times performance boost comparing to a CPU implementation. We adopt the […]

The aim of this paper is to explore the performances of graphics processing units (GPU) on the American options pricing problem using the Long staff and Schwartz method. This exploration includes a parallelization study of the different phases of American options pricing. We also give a comparison between CPU and GPU in pricing one-dimensional contracts. […]

We present a high-speed dense stereo algorithm that achieves both good quality results and very high disparity estimation throughput on the graphics processing unit (GPU). The key idea is to make use of directional center-biased support windows to strike a good quality balance between homogeneous areas and depth discontinuities, and it is instantiated by a […]

Ray casting algorithm is one important method to render CT volumes with 2D CT slices, and it can be accelerated using graphics hardware. In this paper, we developed an efficient volume rendering system based on ray casting using C++ and VTK, and designed common shading and classification transfer functions to highlight different organs/tissues of a […]

Simulations of cardiac bioelectric phenomena remain a significant challenge despite continual advancements in computational machinery. Spanning large temporal and spatial ranges demands millions of nodes to accurately depict geometry, and a comparable number of timesteps to capture dynamics. This study explores a new hardware computing paradigm, the graphics processing unit (GPU), to accelerate cardiac models, […]

The complexity of modern microprocessor design involving billions of transistors at increasingly denser scales creates many challenges particularly in the area of design reliability and predictable yields. Researchers at IBM’s Austin Research Lab have increasingly depended on software based simulation of various aspects of the design and manufacturing process to help address these challenges. The […]

The medical image visualization can help the doctor easy to diagnose, and the better quality can help doctor much more. The reflectance model is the key factor to make the quality better. Be enslaved to the computing power of CPU and GPU, some complicated reflectance models have not been used in medical visualization, the simple […]

GPUs (Graphics Processing Units) have become one of the main co-processors that contributed to desktops towards high performance computing. Together with multicore CPUs and other co-processors, a powerful heterogeneous execution platform is built on a desktop for data intensive calculations. In our perspective, we see the modern desktop as a heterogeneous cluster that can deal […]

In this paper, interest is focused on the accurate and time-efficient stereo reconstruction, for the purpose of generating 3D animated scenes from multiple synchronized videos. The plane-sweeping approach is reviewed as relevant to the goal of time-efficiency, since its execution can be optimized on a GPU. A method compatible for optimization on the GPU is […]