Mikhail A. Farkov
The vast majority of problems faced by bioinformatics are very complex and time consuming. They require the use of modern high-performance computational systems and the development of algorithms for such system. Heterogeneous computing systems which include graphics processing unit (GPU) occupy a separate niche. Such systems allow to accelerate solving of some task significantly. The […]
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Chen Shen, Xian-liang Wu
In recent years, the finite difference time domain (FDTD) method has been prevailed in the simulation of metamaterials widely. As the FDTD method can be suitable for the parallel computing, we apply this method to the Fermi-architecture Graphic Process Units (GPUs) to calculate the electromagnetic simulation of double negative materials in this paper. Finally, both […]
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Takazumi Matsumoto, Edward Hung, Man Lung Yiu
Outlier detection, also known as anomaly detection, is a common data mining task in identifying data points that are outside expected patterns in a given dataset. It has useful applications such as network intrusion, system faults, and fraudulent activity. In addition, real world data are uncertain in nature and they may be represented as uncertain […]
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Guang Rong, Guixia Liu, Ming Zheng, An Sun, Yuan Tian, Han Wang
Gravitation Field Algorithm (GFA) is a simple but very effective heuristic search algorithm. This algorithm has obvious advantages in multimodal function optimization problems compared with SA and GA. However, when we want to get a more precise global optimal value, it needs a lot of initial dusts involved in computing, which causes a low efficiency […]
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Safraz Rampersaud, Lena Mashayekhy, Daniel Grosu
Computing Nash equilibria is a very important problem in strategic analysis of markets, conflicts and resource allocation. Unfortunately, computing these equilibria even for moderately sized games is computationally expensive. To obtain faster execution times it is essential to exploit the available parallelism offered by the currently available massively parallel architectures. To address this issue, we […]
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Hsuan-Hsiu Ou
Graphics Processing Units (GPUs) have been extensively applied in the High Performance Computing (HPC) community. HPC applications require additional special programming environments to improve the utilization of GPUs, for example, NVIDIA’s CUDA and Khronos group’s OpenCL. This thesis will introduce a preprocessor framework called HPC.NET, which is deployed on the Microsoft .NET platform to meet […]
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Tongjai Yampaka, Prabhas Chongstitvatana
Spatial operations such as spatial join combine two objects on spatial predicates. It is different from relational join because objects have multi dimensions and spatial join consumes large execution time. Recently, many researches tried to find methods to improve the execution time. Parallel spatial join is one method to improve the execution time. Comparison between […]
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Takazumi Matsumoto, Edward Hung
Outlier detection (also known as anomaly detection) is a common data mining task in which data points that lie outside expected patterns in a given dataset are identified. This is useful in areas such as fault detection, intrusion detection and in pre-processing before further analysis. There are many approaches already in use for outlier detection, […]
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