张为华

联系方式:

zhangweihua (at) fudan dot edu dot cn

上海市杨浦区邯郸路220号复旦大学计算中心

(021)51355358

个人简介:

      张为华,教授,博导。2007年复旦大学获博士学位,博士论文获“计算机学会优秀博士论文优秀奖”。作为项目负责人承担国家自然科学基金项目、科技支撑项目,上海市科委重点项目和863课题等项目。在TC、TPDS、MICRO等高水平国际会议和期刊发表论文60余篇。研究工作获得ICPP 2015和 ACA 2014 最佳论文奖。


研究领域:

体系结构、系统软件和编译优化等

  

奖项:

· 2015 ICPP最佳论文
· 2014 ACA最佳论文
· 2007 计算机学会优秀博士论文奖


Professional Service

· Vice PC Chair: NAS 2013
· Publicity Chair: COSMIC 2013 (International Workshop on Code Optimization for Multi and many Cores)
· PC Member(Conference): ICPP 2016, NPC 2016, ACA 2016, ICPP 2015, I-SPAN 2014, HPC China 2015, HPC China 2014, ACA 2014, HPCC 2013, ICSNC 2013, ICSNC 2012
· PC Member(Workshop):LSPP (Workshop on Large-Scale Parallel Processing) 2012, EMS (International Workshop on Embedded Multicore Systems) 2011

  

课程

· 高级计算机体系结构,秋季,2010,2011
· 计算机体系结构,春季,2007,2008,2009,2010,2011,2012
· 编译原理,秋季,2007,2008


代表论文

1.   J. Jiang et al., More with Less  Deriving More Translation Rules with Less Training Data for DBTs Using Parameterization, 2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), 2020, pp. 415-426, doi: 10.1109/MICRO50266.2020.00043.

2.   S. Chen, L. Liu, W. Zhang and L. Peng, Architectural Support for NVRAM Persistence in GPUs, in IEEE Transactions on Parallel and Distributed Systems, vol. 31, no. 5, pp. 1107-1120, 1 May 2020, doi: 10.1109/TPDS.2019.2960233.

3.   W. Zhang, Z. Yan, Y. Lin, C. Zhao and L. Peng, A High Throughput B+tree for SIMD Architectures, in IEEE Transactions on Parallel and Distributed Systems, vol. 31, no. 3, pp. 707-720, 1 March 2020, doi: 10.1109/TPDS.2019.2942918.

4.   Changheng Song, Wenwen Wang, Pen-Chung Yew, Antonia Zhai, and Weihua Zhang. 2019. Unleashing the power of learning: an enhanced learning-based approach for dynamic binary translation. In Proceedings of the 2019 USENIX Conference on Usenix Annual Technical Conference (USENIX ATC '19). USENIX Association, USA, 7789.

5.   Zhaofeng Yan, Yuzhe Lin, Lu Peng, and Weihua Zhang. 2019. Harmonia: a high throughput B+tree for GPUs. In Proceedings of the 24th Symposium on Principles and Practice of Parallel Programming (PPoPP '19). Association for Computing Machinery, New York, NY, USA, 133144. https://doi.org/10.1145/3293883.3295704


此处选取作者近五年发表论文