Xianbin Xu

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With the continuous development of hardware and software, Graphics Processor Units (GPUs) have been used in the general-purpose computation field. They have emerged as a computational accelerator that dramatically reduces the application execution time with CPUs. To achieve high computing performance, a GPU typically includes hundreds of computing units.(More)
In recent years, Graphics Processing Units(GPUs) have attracted the attention of many application developers as powerful massively parallel system. Computer Unified Device Architecture (CUDA) as a general purpose parallel computing architecture makes GPUs an appealing choice to solve many complex computational problems in a more efficient way. Sparse(More)
—GRAPES (Global and Regional Assimilation and Prediction System) is a new generation of numerical weather prediction (NWP) system of China. As the system processes amount of data and requires high real-time,so it is always a hot research field of parallel computing.This is the first time that we use GPU (Graphics Processor Unit) general-purpose computing(More)