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Featured researches published by Xu Han.


Chinese Physics Letters | 2014

Simulation of the Quasi-Monoenergetic Protons Generation by Parallel Laser Pulses Interaction with Foils

Wang Wei-Quan; Yin Yan; Zou De-Bin; Yu Tong-Pu; Yang Xiao-Hu; Xu Han; Yu Ming-Yang; Ma Yan-Yun; Zhuo Hong-Bin; Shao Fu-Qiu

A new scheme of radiation pressure acceleration for generating high-quality protons by using two overlapping-parallel laser pulses is proposed. Particle-in-cell simulation shows that the overlapping of two pulses with identical Gaussian profiles in space and trapezoidal profiles in the time domain can result in a composite light pulse with a spatial profile suitable for stable acceleration of protons to high energies. At ~2.46 × 1021 W/cm2 intensity of the combination light pulse, a quasi-monoenergetic proton beam with peak energy ~200 MeV/nucleon, energy spread <15%, and divergency angle <4° is obtained, which is appropriate for tumor therapy. The proton beam quality can be controlled by adjusting the incidence points of two laser pulses.


Journal of Algorithms & Computational Technology | 2010

Parallel Solution Algorithm for the Multi-Group Particle Transport Equations on the Unstructured Meshes:

Liu Jie; Chi Lihua; Chen Jing; Zhuo Hong-Bin; Xu Han; Jiang Jie; Hu Qingfeng

The numerical simulations for solving the transport equations lead to the large computation and need to implement parallel calculation. On the unstructured grids, the communicating delays, sorting algorithms and inserting algorithms limit the performance of current algorithms, which decrease the scalable parallel performance. This paper presents an effective way to implement the scalable parallel numerical simulation on the clusters by combining the energy groups and the space domain decomposition. Based on the list schedule, we first design a multi-group parallel method to solve the load unbalance problem which is brought about by the energy group parallel decomposition. After we describe the priority algorithm to arrange the orders for all meshes, we present a parallel algorithm based on geometry domain decomposition. A parallel code combining those two algorithms was designed. Using the code, we solved a two dimension particle transport equations on a cluster, performance results show the algorithms have well scalability.


Archive | 2013

Address alignment SIMD (Single Instruction Multiple Data) acceleration method of array addition operation assembly library program

Chi Lihua; Liu Jie; Gan Xinbiao; Yan Yihui; Xu Han; Hu Qingfeng; Gong Chunye; Feng Hua; Jiang Jie


Archive | 2017

Method for deleting video big data redundancy based on information divergence

Gan Xinbiao; Liu Jie; Yang Canqun; Xu Han; Hu Qingfeng; Gong Chunye; Li Shengguo; Zou Dan; Yan Yihui; Huang Jiakun; Xiong Chengwei


Archive | 2017

Method for classifying big data based on confusion matrix

Gan Xinbiao; Liu Jie; Xu Han; Hu Qingfeng; Yan Yihui; Gong Chunye; Li Shengguo; Zou Dan; Xiong Chengwei; Huang Jiakun


Archive | 2016

Heterogeneous system-oriented data transmission optimization method

Gan Xinbiao; Liu Jie; Yang Canqun; Hu Qingfeng; Xu Han; Chi Lihua; Yan Yihui; Gong Chunye; Li Shengguo; Sun Jianzheng; Qi Baoxin; Ji Xiaocong


Archive | 2015

Matrix multiplication accelerating method for CPU+DSP (Central Processing Unit + Digital Signal Processor) heterogeneous system

Liu Jie; Chi Lihua; Gan Xinbiao; Yan Yihui; Xu Han; Hu Qingfeng; Jiang Jie; Li Shengguo; Wang Qinglin; Huangfu Yongshuo; Cui Xiantao; Zhou Chen


Archive | 2015

Dynamic equilibrium heterogeneous system loading computing method

Gan Xinbiao; Liu Jie; Chi Lihua; Yan Yihui; Xu Han; Hu Qingfeng; Jiang Jie; Li Shengguo; Su Bo; Zhou Huaizhe; Wang Qinglin; Huangfu Yongshuo; Cui Xiantao; Zhou Chen


Archive | 2015

Matrix multiplication accelerating method oriented to general multi-core DSP

Chi Lihua; Liu Jie; Gan Xinbiao; Yan Yihui; Xu Han; Hu Qingfeng; Jiang Jie; Li Shengguo; Wang Qinglin; Huangfu Yongshuo; Cui Xiantao; Zhou Chen


Archive | 2013

Method for accelerating operating speed of graphics processing unit (GPU) through dead code removal

Chi Lihua; Liu Jie; Hu Qingfeng; Yan Yihui; Gong Chunye; Gan Xinbiao; Xu Han; Jiang Jie; Yang Bo

Collaboration


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Hu Qingfeng

National University of Defense Technology

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Liu Jie

National University of Defense Technology

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Chi Lihua

National University of Defense Technology

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Yin Yan

National University of Defense Technology

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Gan Xinbiao

National University of Defense Technology

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Zhuo Hong-Bin

National University of Defense Technology

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Jiang Jie

National University of Defense Technology

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Yang Xiao-Hu

National University of Defense Technology

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Chang Wen-Wei

National University of Defense Technology

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Ma Yan-Yun

National University of Defense Technology

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