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Kai Wu

Ph.D. Student

Electrical Engineering and Computer Sciences

University of California, Merced

kwu42@ucmerced.edu

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Recent News

  • (03/2018)Kai is selected to receive student travel grant for ASPLOS 2018
  • (02/2018)Kai receives two summer research internship offers(Lawrence Livermore national lab and Western Digital).
  • (02/2018)Kai is selected to receive student travel grant for NVMW 2018, San Diego!
  • (01/2018)Two posters are accepted in NVMW'18.
  • (09/2017) One poster, "Characterization and Comparison of Application Resilience for Serial and Parallel Codes", is accepted in SC'17.
  • (08/2017)Kai is selected to receive NSF student travel fund for Cluster 2017, Hawaii !!!
  • (06/2017) One paper, "Algorithm-Directed Persistent Memory for High Performance Computing", is accepted in Cluster'17.
  • (06/2017) One paper, "Unimem: Runtime Data Management on Non-Volatile Memory-based Heterogeneous Main Memory", is accepted in SC'17.
  • (06/2017) One paper, "Performance Evaluation and Modeling of HPC I/O on Non-Volatile Memory", is accepted in NAS'17.
  • (05/2017)Kai will do summer intern at Los Alamos National Laboratory(LANL) in May.
  • (05/2017)One submitmissions for NAS 17.
  • (05/2017)Kai received UC Merced Bobcat scholarship.
  • (04/2017)Kai traveled back to China.
  • (04/2017)Two submitmissions for SC 17.
  • (03/2017)Kai is selected to receive student travel grant for NVMW 2017.
  • (01/2017)Happy Chinese new year !
  • (11/2016)Kai is selected to be student volunteer for SC 16 with travel fund. Go to Salt lake city !
  • (06/2016)Kai joined PASA lab!
  • (05/2016)Kai graduated from MSU!

About Me

Looking for a research internship after Summer 2018!

My name is Kai Wu (吴凯). I am a Computer Science PhD student in EECS at University of California, Merced, where I am a member of Parallel Architecture, System, and Algorithm Lab (PASA)and advised by Dr. Dong Li. Before coming to UC Merced, I earned my master degree in Computer Science and Engineering from Michigan State University.

Research Interests

My research broadly falls into general areas of High Performance Computing (Large-Scale Parallel Systems). Specially, I focus on the following areas:
  • Resource Management in Heterogeneous Computing (Non-volatile memory);
  • Parallel programming models and runtime;
  • Performance optimization and modeling;
  • Resilience and Consistency.

Experience

Research Intern / Los Alamos National Laboratory(LANL)
Mentor: Nathan DeBardeleben, Qiang Guan
May 2017 - Aug 2017

Graduate Student Researcher / UC Merced
Aug 2017 - Current

Teaching Assistant / UC Merced
Jun 2016 - Aug 2016

Education

University of California, Merced, CA
June 2016 - Current

Ph.D., in Electrical Engineering and Computer Sciences

Advisor: Dr.Dong Li


Michigan State University, East Lansing, MI
Aug 2014 - May 2016

M.S., in Computer Science and Engineering

Advisor: Dr.Yiying Tong


Publications

[SC'17] Kai Wu, Yingchao Huang and Dong Li. "Unimem: Runtime Data Management in Non-Volatile Memory-based Heterogeneous Main Memory". In 29th ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, 2017.
[SC'17] Kai Wu, Qiang Guan, Nathan DeBardeleben and Dong Li. "Characterization and Comparison of Application Resilience for Serial and Parallel Codes". Poster in 29th ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, 2017.
[Cluster'17] Shuo Yang, Kai Wu, Yifan Qiao, Dong Li and Jidong Zhai. "Algorithm-Directed Persistent Memory for High Performance Computing". In 19th IEEE Cluster Conference.
[NAS'17] Wei Liu, Kai Wu, Jialin Liu, Feng Chen and Dong Li. "Performance Evaluation and Modeling of HPC I/O on Non-Volatile Memory". In 12th International Conference on Networking, Architecture, and Storage, 2017.
[TR] Kai Wu, Qiang Guan, Frank Ober, Shari Hamlin, and Dong Li. Early Evaluation of Intel Optane Non-Volatile Memory with HPC I/O Workloads. Technical Report, PASA Lab.
Kai Wu, Jie Ren and Dong Li. "Runtime Data Management on Non-Volatile Memory-based Heterogeneous Memory for Task-Parallel Programs" (submitted to SC'18)
Kai Wu, Wenqian Dong, Qiang Guan, Nathan Debardeleben and Dong Li. "Modeling Application Resilience in Large Scale Parallel Execution"(submitted to ICPP 2018)
Kai Wu, Yingchao Huang and Dong Li. "High Performance Data Persistence in Non-Volatile Memory for Resilient High Performance Computing"

Professional Activities

  • External reviewers: IPDPS'17, Cluster'17, HPCC'17, NAS'17, SC'18, etc.
  • Student Volunteer SC'16.

Awards

  • Student travel grants: ASPLOS 2018, NVMW 2018, CLUSTER 2017, NVMW 2017, SC'16
  • UC Merced Bobcat Fellowship 2017
  • China National Scholarship 2013

Personal

I am doing sports like basketball, badminton, tennis, and hiking. I am always interested in great food!