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Kai Wu (Kyle)
I am a Ph.D. candidate of Electrical Engineering and Computer Science 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 areas are computer system, heterogeneous computing and high performance computing (HPC). I design high performance and large-scale computer systems with hardware heterogeneity. My recent work focuses on designing system support for persistent memory-based big memory platforms.
Contact: kwu42 [at] ucmerced [dot] edu
I am completing my Ph.D. by May 2021, and I am actively looking for a full-time position in system research.
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GitHub
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12/2020
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A paper "ArchTM: Architecture-Aware, High Performance Transaction for Persistent Memory" is accepted in FAST'21.
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10/2020
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A paper "Efficient Tensor Migration and Allocation on Heterogeneous Memory Systems for Deep Learning" is accepted in HPCA'21.
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09/2020
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Kai will serve as shaow PC of Eurosys'20.
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09/2020
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Kai will serve as technical program committee of HPCC'20.
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09/2020
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Kai's PhD dissertation "Runtime Data Management on Non-Volatile Memory-based High Performance Systems" is selected to present in SC'20 Doctoral Showcase.
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08/2020
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Kai is selected to be student volunteer for SC'20.
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07/2020
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A paper "Exploring Non-Volatility of Non-Volatile Memory for High Performance Computing Under Failures" is accepted in CLUSTER'20.
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07/2020
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A paper "Ribbon: High Performance Cache Line Flushing for Persistent Memory" is accepted in PACT'20.
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12/2019
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A paper "Demystifying the Performance of HPC Scientific Applications on NVM-based Memory Systems" is accepted in IPDPS'20.
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07/2019
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Kai is selected to be student volunteer for SC'19.
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06/2019
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Successfully passed qualifying exam!
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01/2019
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Three poster papers on non-volatile memory were accepted in 10th Annual Non-Volatile Memories Workshop.
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[FAST'21]
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Architecture-Aware, High Performance Transaction for Persistent Memory
Kai Wu,
Jie Ren, Ivy Peng, Dong Li
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[HPCA'21]
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Efficient Tensor Migration and Allocation on Heterogeneous Memory Systems for Deep Learning
Jie Ren,
Jiaolin Luo,
Kai Wu,
Mingjia Zhang, Hyeran Jeon, Dong Li
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[SC'20 Doctoral Showcase]
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Runtime Data Management on Non-Volatile Memory-based High Performance Systems
Kai Wu,
Dong Li
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[PACT'20]
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Ribbon: High Performance Cache Line Flushing for Persistent Memory
Kai Wu,
Ivy Peng,
Jie Ren,
Dong Li
PDF
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[IPDPS'20]
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Demystifying the Performance of HPC Scientific Applications on NVM-based Memory Systems
Ivy Peng,
Kai Wu,
Jie Ren,
Dong Li,
Maya Gokhale
PDF
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[CLUSTER'20]
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Exploring Non-Volatility of Non-Volatile Memory for High Performance Computing Under Failure
Jie Ren,
Kai Wu,
Dong Li
PDF
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[MCHPC'19]
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UMap: Enabling Application-driven Optimizations for Page Management
Ivy Peng,
Marty McFadden, Eric Green, Keita Iwabuchi,
Kai Wu,
Dong Li,
Roger Pearce, Maya Gokhale
PDF
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[SC'18]
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Runtime Data Management on Non-Volatile Memory-based Heterogeneous Memory for Task-Parallel Programs
Kai Wu,
Jie Ren,
Dong Li
PDF
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[CLUSTER'20]
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Exploring Non-Volatility of Non-Volatile Memory for High Performance Computing Under Failure
Jie Ren,
Kai Wu,
Dong Li
PDF
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[ICPP'18]
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Modeling Application Resilience in Large Scale Parallel Execution
Kai Wu,
Wenqian Dong, Qiang Guan, Nathan Debardeleben,
Dong Li
PDF
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[MCHPC'18]
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Understanding Application Recomputability without Crash Consistency in Non-Volatile Memory
Jie Ren,
Kai Wu,
Dong Li
PDF
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[SC'17]
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Unimem: Runtime Data Management in Non-Volatile Memory-based Heterogeneous Main Memory
Kai Wu,
Yingchao Huang,
Dong Li
PDF
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[CLUSTER'17]
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Algorithm-Directed Persistent Memory for High Performance Computing
Shuo Yang,
Kai Wu,
Yifan Qiao,
Dong Li,
Jidong Zhai
PDF
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[NAS'17]
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Performance Evaluation and Modeling of HPC I/O on Non-Volatile Memory
Wei Liu,
Kai Wu,
Jialin Liu,
Feng Chen,
Dong Li
PDF
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Bytedance (Infrastructure System Lab)
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Research Intern, CA, US, 05/2020 - 11/2020
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Lawrence Livermore National Laboratory
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Research Intern, CA, US, 05/2018 - 08/2018
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Los Alamos National Laboratory
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Research Intern, NM, US, 05/2017 - 08/2017
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UC Merced
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Graduate Student Researcher, CA, US, 06/2016 - Present
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Technical Program Committee
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Eurosys'21 (shadow PC), HPCC'20
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Reviewer
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IPDPS'21, IEEE Access, NPC'20, CLUSTER'20, NPC'19, ICPP'19, SC'18, IPDPS'17, CLUSTER'17,
HPCC'17, NAS'17
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Student Volunteer
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SC'20, SC'19, SC'18, SC'16
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Graduate Student Representative
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UC Merced EECS, 01/2020 - 12/2020
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Conference Student Grant
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OSDI'20, SC'20, NVMW'20, NVMW'19, SC'19, SC'18, OSDI'18, ASPLOS'18, NVMW'18, CLUSTER'17, NVMW'17, SC'16
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UC Merced Graduate Student Travel Fellowship
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2018 & 2020
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UC Merced Bobcat Graduate Research Fellowship
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2017
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CSE15 Discrete Mathematics
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Teaching Assistant, UC Merced, 2020 Spring
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CSE20 Introduction to Computing I (Java Programming)
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Teaching Assistant, UC Merced, 2016 Summer & 2018 Fall & 2019 Fall
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CSE179 Parallel Computing
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Teaching Assistant, UC Merced, 2020 Spring
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