Xinwei (Mason) Fu
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Xinwei (Mason) Fu, Ph.D. |
Bio
I am an applied scientist in the AWS AI team of Amazon. I received my Ph.D. degree in Computer Science at Virginia Tech under the guidance of Prof. Changwoo Min and Prof. Dongyoon Lee. I received my bachelor and master degree from Sun Yat-Sen University. I interned in the AWS AI team of Amazon in Summer 2021.
Research Interests
Machine Learning System
Software Reliability
Persistent Memory
Publications
Gemini: Fast Failure Recovery in Distributed Training with In-Memory Checkpoints
Zhuang Wang, Zhen Jia, Shuai Zheng, Zhen Zhang, Xinwei Fu, T. S. Eugene Ng, and Yida Wang
In Proceedings of the 29th ACM Symposium on Operating Systems Principles (SOSP 2023)
Durinn: Adversarial Memory and Thread Interleaving for Detecting Durable Linearizability Bugs
Xinwei Fu, Dongyoon Lee, and Changwoo Min
In Proceedings of the 16th USENIX Symposium on Operating Systems Design and Implementation (OSDI 2022)
[paper | slides | code]
ReplayCache: Enabling Volatile Caches for Energy Harvesting Systems
Jianping Zeng, Jongouk Choi, Xinwei Fu, Ajay P. Shreepathi, Dongyoon Lee, Changwoo Min, and Changhee Jung
In Proceedings of the 13rd annual non-volatile memories workshop (NVMW 2022)
[paper | slides]
Witcher: Systematic Crash Consistency Testing for Non-Volatile Memory Key-Value Stores
Xinwei Fu, Wook-Hee Kim, Ajay Paddayuru Shreepathi, Mohannad Ismail, Sunny Wadkar, Dongyoon Lee, and Changwoo Min
In Proceedings of the 28th ACM Symposium on Operating Systems Principles (SOSP 2021)
[paper | slides | code | video]
PACTree: A High Performance Persistent Range Index Using PAC Guidelines
Wook-Hee Kim, R. Madhava Krishnan, Xinwei Fu, Sanidhya Kashyap, and Changwoo Min
In Proceedings of the 28th ACM Symposium on Operating Systems Principles (SOSP 2021)
[paper | slides | code | video]
ReplayCache: Enabling Volatile Caches for Energy Harvesting Systems
Jianping Zeng, Jongouk Choi, Xinwei Fu, Ajay Paddayuru Shreepathi, Dongyoon Lee, Changwoo Min, and Changhee Jung
In Proceedings of the 54th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO 2021)
[paper | slides]
TIPS: Making Volatile Index Structures Persistent with DRAM-NVMM Tiering
R. Madhava Krishnan, Wook-Hee Kim, Xinwei Fu, Sumit Kumar Monga, Hee Won Lee, Minsung Jang, Ajit Mathew, and Changwoo Min
In Proceedings of USENIX Annual Technical Conference (ATC 2021)
[paper | slides | code | video]
Durable Transactional Memory Can Scale with TimeStone
R.Madhava Krishnan, Jaeho Kim, Ajit Mathew, Xinwei Fu, Anthony Demeri, Changwoo Min and Sudarsun Kannan
In Proceedings of the 11th Annual Non-Volatile Memories Workshop (NVMW 2020)
[paper | code]
Durable Transactional Memory Can Scale with TimeStone
R.Madhava Krishnan, Jaeho Kim, Ajit Mathew, Xinwei Fu, Anthony Demeri, Changwoo Min and Sudarsun Kannan
In Proceedings of ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS 2020)
[paper | slides | code | video]
EdgeWise: A Better Stream Processing Engine for the Edge
Xinwei Fu, Talha Ghaffar, James C. Davis and Dongyoon Lee
In Proceedings of USENIX Annual Technical Conference (ATC 2019)
[paper | slides | code | video]
nAdroid: Statically Detecting Ordering Violations in Android Applications
Xinwei Fu, Dongyoon Lee, and Changhee Jung
In Proceedings of IEEE/ACM International Symposium on Code Generation and Optimization (CGO 2018)
[paper | code]
Services
Conference Committee Activities
Program Committee, USENIX Annual Technical Conference (ATC). 2023, 2024
Program Committee, ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES). 2023
Artifact Evaluation Program Committee, IEEE/ACM International Symposium on Code Generation and Optimization (CGO). 2019
Conference Organizing Activities
Artifact Evaluation Co-Chair, ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES). 2023