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科学研究

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研究领域

并行与分布式计算、多核体系结构与系统软件。当前主要研究云计算与大数据处理、异构并行计算等。

论文成果

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Xuanhua Shi, Zezhao Feng, Kaixi Li, YongLuan Zhou, Hai Jin, Yan Jiang, Bingsheng He, Zhijun Ling, Xin Li, "ByteSeries : An In-Memory Database for Large-Scale Monitoring Systems", in Proceedings of the ACM Symposium on Cloud Computing (SoCC'20), Seattle, WA, USA, October 19-21, 2020. Acceptance ratio: 24.5% (35/143).
Xuan Peng, Xuanhua Shi, Hulin dai, Hai Jin, Weiliang Ma, Qian Xiong, Fan Yang, Xuehai Qian, "Capuchin: Tensor-based GPU Memory Management for Deep Learning", in Proceedings of the ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS'2020), Lausanne, Switzerland, March 16-20, 2020. Acceptance ratio: 18.1% (86/476)..
Xuanhua Shi, Yipeng Zhang, Hong Huang, Zhenyu Hu, Hai Jin, Huan Shen, Yongluan Zhou, Bingsheng He, Ruibo Li, Keyong Zhou, "Maxson: Reduce Duplicate Parsing Overhead on Raw Data", in Proceedings of the IEEE International Conference on Data Engineering (ICDE'2020), Dallas, Texas, USA, April 20-24, 2020. Acceptance ratio: 26% ..
Xuanhua Shi, Wei Liu, Ligang He, Hai Jin, Ming Li, and Yong Chen, "Optimizing the SSD Burst Buffer by Traffic Detection", ACM Transactions on Architecture and Code Optimization, 2020..
Xuanhua Shi, Zhixiang Ke, Yongluan Zhou, Hai Jin, Lu Lu, Xiong Zhang, Ligang He, Zhenyu Hu, and Fei Wang, "Deca: a Garbage Collection Optimizer for In-memory Data Processing", ACM Transactions on Computer Systems, 36, 1, Article 3 (March 2019), 47 pages. .
Xuanhua Shi, Ming Chen, Ligang He, Xu Xie, Lu Lu, Hai Jin, Yong Chen, and Song Wu, "Mammoth: Gearing Hadoop Towards Memory-Intensive MapReduce Applications", IEEE Transactions on Parallel and Distributed Systems, 26(8):2300-2315, 2015. Spotlight paper on Transactions .

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石宣化

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教授 , 博士生导师 , 硕士生导师

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