high performance computing on graphics processing units: hgpu.org

Functional principal component analysis is one the most commonly employed approaches in functional/longitudinal data analysis and we extend it to conduct $d$-dimensional functional/longitudinal data analysis. The computational issues emerging in the extension are fully addressed with our proposed solutions. The local linear smoothing technique is employed to perform estimation because of its capabilities of performing […]

BACKGROUND: Dermoscopy is a highly effective and noninvasive imaging technique used in diagnosis of melanoma and other pigmented skin lesions. Many aspects of the lesion under consideration are defined in relation to the lesion border. This makes border detection one of the most important steps in dermoscopic image analysis. In current practice, dermatologists often delineate […]

With the broad deployment of multicore processors, there are increasing demands to port OpenCL programs written for GPUs onto the multicore processors. However, OpenCL programs written for GPUs cannot run efficiently on multicore processors since GPU-oriented OpenCL programs generally consist of a huge number of threads. This paper presents experimental comparisons of three thread execution […]

In this paper, a new progressive mesh algorithm is introduced in order to perform fast physical simulations by the use of a lattice Boltzmann method (LBM) on a single-node multi-GPU architecture. This algorithm is able to mesh automatically the simulation domain according to the propagation of fluids. This method can also be useful in order […]

Because of the bottleneck in the increase of clock frequency, multi-cores emerged as a way of improving the overall performance of CPUs. In the recent decade, many-cores begin to play a more and more important role in scientific computing. The highly cost-effective nature of many-cores makes them extremely suitable for data-intensive computations. Specifically, many-cores are […]

Physically-driven methods of simulating fluid dynamics and frequencybased ocean surface synthesis methods are of long-standing interest for the field of computer graphics. However, they have been historically used separately or without any interaction between them. This thesis focuses on the possibility of combining the approaches into one adaptive solution by proposing methods for unified surface […]

The large quantities of data now being transferred via high-speed networks have made deep packet inspection indispensable for security purposes. Scalable and low-cost signature-based network intrusion detection systems have been developed for deep packet inspection for various software platforms. Traditional approaches that only involve central processing units (CPUs) are now considered inadequate in terms of […]

Many computer vision and human-computer interaction applications developed in recent years need evaluating complex and continuous mathematical functions as an essential step toward proper operation. However, rigorous evaluation of this kind of functions often implies a very high computational cost, unacceptable in real-time applications. To alleviate this problem, functions are commonly approximated by simpler piecewise-polynomial […]

The degradation of the acquired signal by Poisson noise is a common problem for various imaging applications, such as medical imaging, night vision and microscopy. Up to now, many state-of-the-art Poisson denoising techniques mainly concentrate on achieving utmost performance, with little consideration for the computation efficiency. Therefore, in this study we aim to propose an […]

2015 The 4th International Conference on Control, Robotics and Informatics (ICCRI 2015) will be held in Tokyo, Japan, during December 26-27, 2015. The conference is sponsored by Science and Engineering Institute and The University of Texas at Dallas, USA. More, please visit: http://www.iccri.org/ (SCOPUS & Ei Compendex) ICCRI 2015 conference proceedings will be published by […]

Dear Scholars and Researchers, Warmest Greetings from ICBDA2016! This is 2016 IEEE International Conference on Big Data Analysis (ICBDA 2016) conference committee. We are very pleased to tell you that ICBDA2016 will be held in Hang Zhou, China during March 12-14, 2016. Publication After a careful reviewing process, all accepted papers after proper registration and […]

General Introduction • Index: All the accepted papers will be published in the volume of MATEC Web of Conferences (ISSN: 2261-236X), which is indexed by Ei Compendex, Inspec, DOAJ, CPCI (Web of Science) and Scopus. • Famous professors as Keynote Speakers: Prof. Orawan Siriratpiriya, Chulalongkorn University (ARRIC), Thailand (the oldest university considered the most prestigious […]