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.
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.
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
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
[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"
External reviewers: IPDPS'17, Cluster'17, HPCC'17, NAS'17, SC'18, etc.
Student Volunteer SC'16.
Student travel grants: ASPLOS 2018, NVMW 2018, CLUSTER 2017, NVMW 2017, SC'16
UC Merced Bobcat Fellowship 2017
China National Scholarship 2013
I am doing sports like basketball, badminton, tennis, and hiking. I am always interested in great food!