简 历:
2021年9月 — 今:中科院计算所,副研究员
2019年5月 — 2021年9月:中科院计算所,助理研究员
2012年9月 — 2019年1月:中国科学院大学,计算机学院,博士生
2008年9月 — 2012年7月:华中科技大学,软件学院,本科生
主要论著:
[1] Wanling Gao, Fei Tang, Jianfeng Zhan, Xu Wen, Lei Wang, Zheng Cao, Chuanxin Lan, Chunjie Luo, Xiaoli Liu, Zihan Jiang. AIBench Scenario: Scenario-distilling AI Benchmarking. The 30th International Conference on Parallel Architectures and Compilation Techniques (PACT 2021).
[2] 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 Symposium on Performance Analysis of Systems and Software (ISPASS 2021).
[3] 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).
[4] Lei Wang, Xingwang Xiong, Jianfeng Zhan, Wanling Gao, et al. WPC: Whole-Picture Workload Characterization Across Intermediate Representation, ISA, and Microarchitecture. IEEE Computer Architecture Letters (2021).
[5] Tianshu Hao, Jianfeng Zhan, Kai Hwang, Wanling Gao, Xu Wen. AI-oriented Workload Allocation for Cloud-Edge Computing. The 21th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2021).
[5] Rui Ren, Jiechao Cheng, Xi-Wen He, Lei Wang, Jianfeng Zhan, Wanling Gao, Chunjie Luo. HybridTune: Spatio-Temporal Performance Data Correlation for Performance Diagnosis of Big Data Systems. Journal of Computer Science and Technology, 2019.
[6] 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 Techniques (PACT 2018).
[7] Wanling Gao, Jianfeng Zhan, Lei Wang, Chunjie Luo, Zhen Jia, et al. Data Motif-based Proxy Benchmarks for Big Data and AI Workloads. IEEE International Symposium on Workload Characterization (IISWC 2018).
[8] Wanling Gao, Chunjie Luo, Lei Wang, Xingwang Xiong, Jianan Chen, Tianshu Hao, Zihan Jiang, Fanda Fan, Mengjia Du, Yunyou Huang, Fan Zhang, Xu Wen, Chen Zheng, Xiwen He, Jiahui Dai, Hainan Ye, Zheng Cao, Zhen Jia, Kent Zhan, Haoning Tang, Daoyi Zheng, Biwei Xie, Wei Li, Xiaoyu Wang, and Jianfeng Zhan. AIBench: Towards Scalable and Comprehensive Datacenter AI Benchmarking. 2018 BenchCouncil International Symposium on Benchmarking, Measuring and Optimizing (Bench18).
[9] Tianshu Hao, Yunyou Huang, Xu Wen, Wanling Gao, Fan Zhang, Chen Zheng, Lei Wang, Hainan Ye, K. Hwang, Zujie Ren, and Jianfeng Zhan, Edge AIBench: Towards comprehensive end-to-end edge computing benchmarking. 2018 BenchCouncil International Symposium on Benchmarking, Measuring and Optimizing (Bench18).
[10] Chunjie Luo, Fan Zhang, Cheng Huang, Xingwang Xiong, Jianan Chen, Lei Wang, Wanling Gao, Hainan Ye, Tong Wu, Runsong Zhou, and Jianfeng Zhan, AIoT Bench: Towards comprehensive benchmarking mobile and embedded device intelligence. 2018 BenchCouncil International Symposium on Benchmarking, Measuring and Optimizing (Bench18).
[11] Biwei Xie, Jianfeng Zhan, Xu Liu, Wanling Gao, Zhen Jia, Xiwen He, and Lixin Zhang. CVR: Efficient Vectorization of SpMV on X86 Processors. International Symposium on Code Generation and Optimization (CGO 2018).
[12] Xiexuan Zhou, Rui Ren, Wanling Gao, Yunyou Huang, Wenfeng Zeng, Defei Kong, Tianshu Hao, Zhifei Zhang, and Jianfeng Zhan. Trends on Methods for Prediction of Tandem Mass Spectra of Peptides. Progress in Biochemistry and Biophysics, 2018.
[13] Zhen Jia, Jianfeng Zhan, Lei Wang, Chunjie Luo, Wanling Gao, Yi Jin, Rui Han and Lixin Zhang. Understanding Processors Design Decisions for Data Analytics in Homogeneous Data Centers. IEEE Transactions on Big Data, 2017.
[14] Zhen Jia, Jianfeng Zhan, Lei Wang, Chunjie Luo, Wanling Gao, Yi Jin, Rui Han, et al. Understanding Big Data Analytics Workloads on Modern Processors. IEEE Transactions on Parallel and Distributed Systems (TPDS 2016).
[15] Jianfeng Zhan, Wanling Gao, Lei Wangi, et al. BigDataBench:An Open Source Big Data Benchmark Suite. CHINESE JOURNAL OF COMPUTERS, 2016.
[16] Wanling Gao, Yuqing Zhu, Zhen Jia, Chunjie Luo, Lei Wang, Jianfeng Zhan, et al. BigDataBench: a Big Data Benchmark Suite from Web Search Engines. Third Workshop on Architectures and Systems for Big Data (ASBD 2013) in conjunction with The 40th International Symposium on Computer Architecture, May 2013.
专利:
[1] 高婉铃,陆钢,王磊,左啸冰. 一种多节点应用的异常检测方法及相关装置. 发明专利 CN103888304B.科研项目:
国家基金重点子课题:大数据管理系统评测基准的理论与方法,主要参与人
高婉铃 副研究员
研究方向:
所属部门:分布式系统研究中心、处理器芯片重点实验室
导师类别:
联系方式:gaowanling@ict.ac.cn
个人网页:https://www.benchcouncil.org/wlgao/