high performance computing on graphics processing units: hgpu.org

In order to scale video image real-timely, a GPU-aided parallel interpolation algorithm was proposed. Catmull-Rom Spline algorithm for image zooming was reformed into SIMD (Single instruction, multiple data) mode according to CUDA programming model. Re-sampling of each pixel was completed by a GPU thread. Hence, time-consuming re-sampling procedure of the whole zooming process were handled […]

We are going through the computation from single core to multicore architecture in parallel programming. Graphics Processor Units (GPUs) have recently emerged as outstanding platforms for data parallel applications with regular data access patterns. However, it is still challenging to optimize computations with irregular data access patterns like sparse matrix-vector multiplication (SPMV). SPMV is one […]

In a major breakthrough, Gentry introduced the first plausible construction of a fully homomorphic encryption (FHE) scheme in 2009. FHE allows the evaluation of arbitrary functions directly on encrypted data on untrusted servers. Later, in 2010 Gentry-Halevi presented the first FHE implementation. However, even for the small setting with 2,048 dimensions, the authors reported a […]

With the thriving technology and the great increase in the usage of computer networks, the risk of having these network to be under attacks have been increased. Number of techniques have been created and designed to help in detecting and/or preventing such attacks. One common technique is the use of Intrusion Detection Systems (IDS). Today, […]

The lattice Boltzmann method is used to investigate the permeability of microstructures of cement pastes generated using the numerical models CEMHYD3D (Bentz, 1997) and mIC (Bishnoi and Scrivener, 2009). Results are reported as a function of paste water-to-cement ratio and degree of hydration. The permeability decreases with increasing hydration and decreasing water-to-cement ratio in agreement […]

Heterogeneous computing using FPGA accelerators is a promising approach to boost the performance of application programs within given power consumption. This paper focuses on optimizations targeting FPGA-based reconfigurable dataflow computing platform, and shows how they benefit an application. In order to evaluate them, we use the Himeno benchmark, which is a floating point computation kernel […]

Cortical modeling is an area of research seeking to model and simulate the cerebral cortex of the brain, which is of fundamental importance to conscious thought and action. Computational power is a major challenge in this field and the problem is inherently well-suited to SIMD architectures. This suggests the implementation of a general-purpose GPU framework […]

H.264/AVC is a recent video standard embraced by many multimedia applications. Because of its demanding encoding requirements, a high amount of computational effort is often needed in order to compress a video stream in real time. The intra-prediction and encoding are two of several modules included by H.264 that requires a high computational power. On […]

Interest point detection is an important low-level image processing technique with a wide range of applications. The point detectors have to be robust under affine, scale and photometric changes. There are many scale and affine invariant point detectors but they are not robust to high illumination changes. Many affine invariant interest point detectors and region […]

Computing curve skeletons of 3D shapes is a challenging task. Recently, a high-potential technique for this task was proposed, based on integrating medial information obtained from several 2D projections of a 3D shape (Livesu et al., 2012). However effective, this technique is strongly influenced in terms of complexity by the quality of a so-called skeleton […]

Image magnification generally results in loss of image quality. Therefore image magnification requires interpolation to read between the pixels. Generally the enlarged images suffer from imperfect reconstructions, pixelization and jagged contours. The proposed system provides error-free high resolution for real images. The basic idea behind the system comprises two basic steps: Fast Curvature Based Interpolation […]

Nuclear emulsion, a tracking detector with sub-micron position resolution, has played a successful role in the field of particle physics and the analysis speed has been substantially improved by the development of automated scanning systems. This paper describes a newly developed automated scanning system and its application to the analysis of nuclear fragments emitted almost […]