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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

  • (06/2018) One paper, "Runtime Data Management on Non-Volatile Memory-based Heterogeneous Memory for Task-Parallel Programs", is accepted in SC'18.
  • (05/2018) One paper, "Modeling Application Resilience in Large Scale Parallel Execution", is accepted in ICPP'18.
  • (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 / Lawrence Livermore National Laboratory(LLNL)
Mentor: Maya B Gokhale
May 2018 - Aug 2018

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'18] Kai Wu, Jie Ren and Dong Li. "Runtime Data Management on Non-Volatile Memory-based Heterogeneous Memory for Task-Parallel Programs". In 30th ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, 2018.
[ICPP'18] Kai Wu, Wenqian Dong, Qiang Guan, Nathan Debardeleben and Dong Li. "Modeling Application Resilience in Large Scale Parallel Execution". In 47th International Conference on Parallel Processing.
[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, 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!