Alert aggregation classified as a similarity-based alert correlation which fuses and clusters similar alerts. Alert aggregation increases meaning of alerts and reduces incoming alerts simultaneously; this process requires lots of computing resources. Limitation of computing resources, like CPUs, makes such systems not satisfactory. Graphic processing units (GPUs) are a potential option to solve...

In the last few years a myriad of computer graphic applications have been developed using standard programming techniques, which are mainly based on multicore general-purpose processors (CPUs) architectures. Due to the rapid turning towards high definition multimedia, more and more researches have been done that need both computational resources and memory space to achieve high performance. To ...

Graphic processing units (GPUs) have been gaining popularity in general purpose and high performance computing. A GPU is made up of a number of streaming multiprocessors (SM), each of which consists of many processing cores. A large number of general-purpose applications have been mapped onto GPUs efficiently. Stream processing applications, however, exhibit properties such as unfavorable data ...

background: fire and explosion hazards are extremely important in processing units. this study was performed to identify the risk centers, the potential damage caused by fire and explosion, and the days of production cessation in the processing company. materials and methods: the present qualitative case study was conducted using dow’s index in 2015. the fire and explosion hazard index and leve...

One of the complex documents in the real world is city maps. In these kinds of maps, text labels overlap by graphics with having a variety of fonts and styles in different orientations. Usually, text and graphic colour is not predefined due to various map publishers. In most city maps, text and graphic lines form a single connected component. Moreover, the common regions of text and graphic lin...

We design and implement the first polynomial-based spectral method on graphic processing units (GPUs). The key to success lies in the seamless integration of the matrix diagonalization technique and new generation CUDA tools. The method is applicable to elliptic equations with general boundary conditions in both 2-D and 3-D cases. We show remarkable speedups of more than 10 times in the 2-D cas...