high performance computing on graphics processing units: hgpu.org

The DIRECT approach for 3-D Time-of-Flight (TOF) PET reconstruction performs all iterative predictor-corrector operations directly in image space. A computational bottleneck here is the convolution with the long TOF (resolution) kernels. Accelerating this convolution operation using GPUs is very important especially for spatially variant resolution kernels, which cannot be efficiently implemented in the Fourier domain. […]

Generating in-between images from multiple views of a scene is a crucial task for both computer vision and computer graphics fields. Photorealistic rendering, 3DTV and robot navigation are some of many applications which benefit from arbitrary view synthesis, if it is achieved in real-time. GPUs excel in achieving high computation power by processing arrays of […]

Proposed and implemented a rapid star map simulation method based on GPU. The method used the vertex shaders of OpenGL shading language to perform real-time calculation of star positions. Combined with the display list technology, the results of calculation were used to perform the simulation of the initial star maps, then the initial star maps […]

Accurate scatter correction is especially important for high-resolution 3D PETs due to the lack of inter-slice septa. To address this problem, a fully 3D iterative scatter-corrected OSEM in which a 3D single scatter simulation (SSS) is alternatively performed with a 3D OSEM reconstruction until convergence was recently proposed. However, due to the computational complexity of […]

In this paper, we present a new technique for highly efficient terrain rendering using continuous view-dependent Level-of-Detail based on hardware tessellation unit found in modern GPUs. Our technique is based on parallel local processing, in the sense that the results at each terrain patch do not depend on results already obtained at other patches. This […]

In this paper, we present a case study on runtime reduction of VLSI CAD programs using parallel computing. Specifically, we parallelize a buffer insertion algorithm that minimizes power dissipation. We choose Graphic Processing Units (GPUs) as the low-cost hardware that supports parallel computing. We redesign the algorithm data structure to accommodate GPU based computing. As […]

In recent years, the verification of digital designs has become one of the most challenging, time consuming and critical tasks in the entire hardware development process. Within this area, the vast majority of the verification effort in industry relies on logic simulation tools. However, logic simulators deliver limited performance when faced with vastly complex modern […]

GPUs have recently been explored as a new general-purpose computing platform, which are suitable for the acceleration of compute-intensive EDA applications. In this paper we describe a GPU-based one- to n-detection fault simulator for both stuck-at and transition faults, which demonstrates a 20X speedup over a commercial CPU-based fault simulator. We further show new fault-simulation-based […]

Registration of partial scan data sets is still a challenge for today’s CAD systems and CAD system users. Many of the known methods rely on user interaction or feature recognition. For non-regular users this is too time consuming and error prone. The paper describes a method to register partial scan data by fitting a large […]

Various FDTD approaches has been applied in the analysis of periodic structures, among which Spectral FDTD is a straight-forward and robust one. This essay proposed an improved Spectral FDTD algorithm that improves the simulation speed of off-normal incident case without jeopardizing accuracy. Together with GPU accelerating, as is proven by the example, the proposed acceleration […]

The simulation of the hepatocellular carcinoma therapy effects is often used for the intervention planning. As the physical-based model of the simulation is very time-consuming, the speed of this method becomes an obstacle during the clinical application simulation. In order to accelerate the simulation, a GPU-based (Graphic Processing Unit) acceleration method of the pressure field […]

The extending of Synthetic Aperture Radar (SAR) applications brings new challenges to SAR signal processing. Highly efficient SAR signal processors need to be explored towards these challenges. Recently, Graphics Processing Unit (GPU) is developing at top speed, which is a novel and promising computation platform for efficient SAR processors. A GPU-based SAR signal processor is […]