副研究员/高级工程师
  • 高婉铃

  • 电子邮件: gaowanling@ict.ac.cn

简历:

2019 年在中国科学院大学获得工学博士学位(计算机软件与理论),同年入职中科院计算所先进计算机系统研究中心,2021 年9 月聘任为副研究员。担任 BenchCouncil 执行委员会委员,国际测试基准与标准大会(Bench)指导委员会委员。获得2021 年BenchCouncil新星奖,入选2021 年中科院计算所“新百星计划”。


研究方向:

大数据和人工智能的统一抽象,开源计算机系统原型和场景模拟器研究

代表论著:

1) Wanling Gao, Fei Tang, Jianfeng Zhan, Xu Wen, Lei Wang, Zheng- Cao, Chuanxin Lan, Chunjie Luo, Xiaoli Liu, Zihan Jiang. AIBench Scenario: Sce- nario-distilling AI Benchmarking. The 30th International Conference on Parallel Architectures and Compilation Techniques (PACT 2021).

2) Wanling Gao, Jianfeng Zhan, Lei Wang, Chunjie Luo, Daoyi Zheng, Fei Tang, Biwei Xie, Chen Zheng, Xu Wen, Xiwen He, Hainan Ye, Rui Ren. Data Motifs: A Lens Towards Fully Understanding Big Data and AI Workloads. The 27th International Conference on Parallel Architectures and Compilation Tech- niques (PACT 2018).

3) Fei Tang, Wanling Gao, Jianfeng Zhan, Chuanxin Lan, Xu Wen, Lei Wang, Chunjie Luo, Zheng Cao, Xiongwang Xiong, Zihan Jiang, Tianshu Hao, Fanda Fan, Fan Zhang, Yunyou Huang, et al. AIBench Training: Balanced Industry-Standard AI Training Benchmarking. 2021 IEEE International Symposiumon Performance Analysis of Systems and Software (ISPASS 2021).

4) Fei Tang, Wanling Gao, Jianfeng Zhan, Chuanxin Lan, Xu Wen, Lei Wang, Chunjie Luo, Zheng Cao, Xiongwang Xiong, Zihan Jiang, Tianshu Hao, Fanda Fan, Fan Zhang, Yunyou Huang, et al. AIBench Training: Balanced Industry-Standard AI Training Benchmarking. IEEE ISPASS 2021.

5) Zihan Jiang, Wanling Gao, Fei Tang, Lei Wang, Xingwang Xiong, Chunjie Luo, Chuanxin Lan, Hongxiao Li, Jianfeng Zhan. HPC AI500 V2.0: The Methodology, Tools, and Metrics for Benchmarking HPC AI Systems. 2021 IEEE International Conference on Cluster Computing (CLUSTER 2021).