个人简历
教育经历4/2012-7/2013 日本筑波大学计算机科学专业博士9/2010-3/2012 日本高知工科大学信息工程专业攻读硕士9/2007-6/2010 郑州⼤学物理工程学院凝聚态物理专业硕士9/2003-6/2007 郑州⼤学物理工程学院物理学专业本科研究和工作经历11/2016-至今 国家超级计算无锡中心（无锡）5/2016-10/2016 东方网力科技股份有限公司（北京）9/2013-5/2016 日本理化学研究所计算科学机构（神户）博士后
近期论文
[1]. Qi Wu, Shixun Zhang, Dong Wang, Zheng Zhou, Mingqing Wang, Xing Huang, Jiuzhou Tang, Qiang Tang, Guangwen Yang, Xiaomeng Huang, “OpenArray: An Implicit Parallel Numerical Library for Scientific Computation,” Supercomputing 2018 (审稿中)[2]. Shixun Zhang, Shinichi Yamagiwa, Masahiko Okumura, and Seiji Yunoki, “Kernel Polynomial Method on GPU,” International Journal of Parallel Programming, vol. 41, no. 1, pp. 59-88, Springer, 2013 (SCI收录) [3]. Shixun Zhang, Shinichi Yamagiwa, and Seiji Yunoki, “GPU-based Parallelization of Kernel Polynomial Method for Solving LDOS,” in Proceedings of The 3rd Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems/Supercomputing 2012, pp. 633-642, IEEE CS, Nov. 2012 (EI收录) [4]. Shixun Zhang, Shinichi Yamagiwa, Masahiko Okumura, and Seiji Yunoki, “Performance Acceleration of Kernel Polynomial Method Applying Graphics Processing Units,” in Proceedings of 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops (IPDPS) & PhD Forum, pp. 569-576, IEEE CS, 2011 (EI收录) [5]. Shixun Zhang, Shinichi Yamagiwa, Masahiko Okumura, and Seiji Yunoki, “Performance Impact Applying Compression Format to Sparse Matrix on Kernel Polynomial Method Using GPU,” in Proceedings of The 2011 Second International Conference on Networking and Computing, pp. 337-341, IEEE CS, 2011 (EI收录) [6]. Shixun Zhang, Shinichi Yamagiwa, Masahiko Okumura, and Seiji Yunoki, “Parallelizing Kernel Polynomial Method Applying Graphics Processing Units,” International Journal of Networking and Computing, vol. 2, no. 1, pp. 41-55, Hiroshima University, 2012 [7]. Shixun Zhang, Shinichi Yamagiwa, and Seiji Yunoki, “A Study of Parallelizing O(N) Green-Function-based Monte Carlo Method for Many Fermions Coupled with Classical Degrees of Freedoms,” Journal of Physics: Conference Series, vol. 454, pp. 012049, IOP, 2013 [8]. Shinichi Yamagiwa, Shixun Zhang, “CarSh: A Commandline Execution Support for Stream-based Acceleration Environment,” Procedia Computer Science, vol.18, pp. 601610, Elsevier, 2013 [9]. Shinichi Yamagiwa and Shixun Zhang, “Scenario-based Execution Method for Massively Parallel Accelerators,” in Proceedings of The 11th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA-13), pp. 1039-1048, 2013 (EI收录) [10]. Shinichi Yamagiwa, Ryo Jozaki, Shixun Zhang, Ryo Zaizen and Dewen Xu, “Exploiting Execution Order and Parallelism from Processing Flow Applying Pipeline-based Programming Method on Manycore Accelerators,” in Proceedings of Sixth International Workshop on Parallel Programming Models and Systems Software for High-End Computing (P2S2), pp. 708-717, 2013 (EI收录)
