high performance computing on graphics processing units: hgpu.org

ICBIP 2016 Shining Points: 1. Accepted and published papers can be indexed by Ei Compendex, Inspec, Scopus and other data base. 2. Prof. Dr. Bártfai Gyorgy from University of Szeged, Department of Obstetrics and Gynaecology, Hungary and Prof. Ioana Demetrescu from University Politehnica Bucharest, Romania have joined as Keynote Speakers. 3.One Day Vist and Tour […]

2016 6th International Conference on Circuits, System and Simulation(ICCSS 2016) will be held in Mexico City during August 16-18, 2016. It is technical sponsored by *National Autonomous University of Mexico (NAUM), Mexico*; Paper Publication All accepted papers must be written in English and will be published into #IEEE conference proceedings#, indexed by **Ei Compendex**. Conference […]

Commitees Honorary Chairs Dr. Francisco E. Rivera, Federal Aviation Administration (FAA), USA International Advisory Committees Prof. Rory Mc Greal, Athabasca University, Canada Conference Co-Chairs Dr. Houssain Kettani, Fort Hays State University, USA Prof. Feng C. Lai, University of Oklahoma, USA Keynote Speakers Prof. Rory McGreal UNESCO/COL Chair in OER, Athabasca University, Canada Prof. Dr. Houssain […]

Commitees Honorary Chairs Dr. Francisco E. Rivera, Federal Aviation Administration (FAA), USA International Advisory Committees Prof. Rory Mc Greal, Athabasca University, Canada Conference Co-Chairs Dr. Houssain Kettani, Fort Hays State University, USA Prof. Feng C. Lai, University of Oklahoma, USA Keynote Speakers Prof. Rory McGreal UNESCO/COL Chair in OER, Athabasca University, Canada Prof. Dr. Houssain […]

The authoring of realistic terrain models is necessary to generate immersive virtual environments for computer games and film visual effects. However, creating these landscapes is difficult – it usually involves an artist spending many hours sculpting a model in a 3D design program. Specialised terrain generation programs exist to rapidly create artificial terrains, such as […]

The confluence of the rapid growth in electronic data in recent years, and the renewed interest in domain-specific hardware accelerators presents exciting technical opportunities. Traditional scale-out solutions for processing the vast amounts of text data have been shown to be energy- and cost-inefficient. In contrast, custom hardware accelerators can provide higher throughputs, lower latencies, and […]

Measuring the similarity between two streamlines is fundamental to many important flow data analysis and visualization tasks such as feature detection, pattern querying and streamline clustering. This dissertation presents a novel streamline similarity measure inspired by the bag-of-features concept from computer vision. Different from other streamline similarity measures, the proposed one considers both the distribution […]

Power density constraints are limiting the performance improvements of modern CPUs. To address this we have seen the introduction of lower-power, multi-core processors such as GPGPU, ARM and Intel MIC. To stay within the power density limits but still obtain Moore’s Law performance/price gains, it will be necessary to parallelize algorithms to exploit larger numbers […]

Current embedded multi object tracking system implementations are dominated by the use of Field Programmable Gate Arrays (FPGAs) and Application Specific Integrated Circuits (ASICs) as application accelerators. These offer many of the traits desirable for embedded and real time systems, including; task oriented architectures, deterministic latency and low power requirements. The drawbacks to these approaches […]

The past several years have witnessed significant performance improvements in High-Performance Computing (HPC), due to the incorporation of GPUs as co-processors. On one hand, GPU devices are growing significantly in terms of the available number of cores and the memory hierarchy; as a result, effective utilization of the available GPU resources while limiting the system […]

Since the introduction of the Modern Portfolio Theory by Markowitz in the Journal of Finance in 1952, it has been the underlying theory in several portfolio optimization techniques. With the advancement of computers, most portfolio optimization are done by CPUs. Over the years, there have been papers that introduce various optimization methods including those introduced […]

Deep neural networks have recently gained popularity for improving state-of-the-art machine learning algorithms in diverse areas such as speech recognition, computer vision and bioinformatics. Convolutional networks especially have shown prowess in visual recognition tasks such as object recognition and detection in which this work is focused on. Modern award-winning architectures have systematically surpassed previous attempts […]