ABOUT ME

English 中文版 CV

Xingwang Xiong

BASIC BIO

I’m Xingwang Xiong, a second-year graduate student from Institute of Computing Technology, Chinese Academy of Sciences (ICT, CAS).

As for Programing language, I perfer Python and C/C++, and know little about Java.

Research Interests: Benchmark, Machine learning

Blog: https://xingwxiong.github.io, https://blog.csdn.net/acmore_xiong (deprecated)

Github: https://github.com/xingwxiong

Email: xingw.xiong (at) gmail.com, xiongxingwang (at) ict.ac.cn

Address: No.6 Kexueyuan South Road Zhongguancun, Haidian District, Beijing, China

EDUCATION

  • Institute of Computing Technology, Chinese Academy of Sciences Sept. 2018 - present

    Master in Computer Technology, expected Jun. 2021

  • Changsha University of Sciences and Technology Sept. 2014 - Jul. 2018

    Bachelor in Computer Sciences and Technology

AWARDS

  • Bronze Medal, The 2017 ACM-ICPC Asia East Continent League Final Contest (Shanghai), Dec. 2017
  • Silver Medal, The 3rd China Collegiate Programming Contest (Harbin)，Oct. 2017
  • Silver Medal, The 13rd Hunan Collegiate Programming Contest (Changsha)，Sept. 2017
  • First Prize, Group Programming Ladder Tournament, China Collegiate Computing Contest (Changsha), Mar. 2017
  • Bronze Medal, CCF Collegiate Computer System and Programming Contest (Beijing), Nov. 2016

PUBLICATIONS

  • [Bench’18] DCMIX: Generating Mixed Workloads for the Cloud Data Center. Xingwang Xiong, Lei Wang, Wanling Gao, Rui Ren, Ke Liu, Chen Zheng, Yu Wen, Yi Liang. International Symposium on Benchmarking, Measuring and Optimization (Bench’18), Seattle, WA, USA, Dec 10-13, 2018.

  • [Bench’18] HPC AI500: A Benchmark Suite for HPC AI Systems. Zihan Jiang, Wanling Gao, Lei Wang, Xingwang Xiong, Yuchen Zhang, Xu Wen, Chunjie Luo, Hainan Ye, Xiaoyi Lu, Yunquan Zhang, Shengzhong Feng, Kenli Li, Weijia Xu, Jianfeng Zhan. International Symposium on Benchmarking, Measuring and Optimization (Bench’18), Seattle, WA, USA, Dec 10-13, 2018.

PROJECTS

[Ongoing] BenchCPU: A CPU benchmark Suite for Emerging Workload 2019 -- Present

BenchCPU is a CPU benchmark suite for emerging workloads, i.e. Big Data, AI, and Internet Services. Based on target-independent analysis, BenchCPU selects representative emerging workloads to eliminates biases in specific computer architectures/systems and get closer to the intrinsic behaviors of these workloads. This project also proposes a set of metrics for comprehensive evaluation.

[Ongoing] HPC AI500: A Benchmark Suite for HPC AI Systems 2019 – Present

HPC AI500 is a scalable benchmark suite for evaluating HPC system running scientific AI applications. This project also proposes a set of metrics for comprehensive evaluation, considering both accuracy, performance as well as power and cost.

AIBench: An Agile Domain-specific Benchmarking Methodology and an AI Benchmark Suite. 2019 -- 2020

AIBench proposes an agile domain-specific benchmarking methodology that speeds up software and hardware co-design. AIBench covers 16 representative real-world datasets widely used in AI scenario and provides 12 AI micro benchmarks and 16 AI component benchmarks.

DCMIX: Generating Mixed Workloads for the Cloud Data Center. 2017 -- 2018

DCMIX, a cloud data center benchmark suite, covers multiple cloud application fields and the mixed workloads’ execution mechanisms. DCMIX can generate mixed execution sequence of workloads by the user customization, and it supports the mixture of serial execution and parallel execution.