high performance computing on graphics processing units: hgpu.org

An approach to execute an improved soft morphological filter (ISMF) on Graphic Processing Unit (GPU) is present in this paper. ISMF regarded as the extension of the standard morphological operators performs well in removal of Salt-and-pepper noise and Gaussian noise simultaneously. Since a great number of data comparison and transmission, it will take a long […]

Computation of the spatial impulse response (SIR) is a time-consuming but fundamental step in the computation of the linear ultrasonic fields in homogeneous media and the scattering fields in the presence of non-homogeneity. In this paper, we present a new algorithm for the computation of the SIR which is suitable for parallelization on massively multiprocessing […]

We present the design and implementation details of a time-division demultiplexing/multiplexing based scan architecture using serializer/deserializer. This is one of the key DFT features implemented on NVIDIA’s Fermi family GPU (Graphic Processing Unit) chips. We provide a comprehensive description on the architecture and specifications. We also depict a compact serializer/deserializer module design, test timing consideration, […]

Today, nearly every user of electronic devices is affected by threats. Computer viruses infect harmless programs and change the function of that program. One means against these threats is a virus scanner, searching for signatures of known viruses within code and/or data. In this work, we present a novel approach to on-line virus scanning and […]

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 […]