Menglei Chen

Ph.D. Student in Computer System and Architecture
Huazhong University of Science and Technology


Biography: Menglei Chen is a Ph.D. student in Huazhong University of Science and Technology (HUST) advised by Prof. Yu Hua. He obtained the B.E. degree in Computer Science from HUST in 2022. His current research interests include storage systems, deep learning systems, and persistent memory.

Publications

[FAST] Menglei Chen, Yu Hua, Zhangyu Chen, Ming Zhang, Gen Dong, "GPHash: An Efficient Hash Index for GPU with Byte-Granularity Persistent Memory", Proceedings of the 23rd USENIX Conference on File and Storage Technologies (FAST), 2025. (CCF A)
[Paper] [Slides] [Code]

[ICCD] Menglei Chen, Yu Hua, Rong Bai, Jianming Huang, "A Cost-Efficient Failure-Tolerant Scheme for Distributed DNN Training", Proceedings of the 41st IEEE International Conference on Computer Design (ICCD), pages 150-157, 2023. (CCF B)
[Paper] [Slides] [Code]

Honors and Awards

  • USENIX FAST Student Grant, 2025

  • First-class Scholarship for Doctoral Students, 2022

  • B.E. Degree with Honors (华中科技大学荣誉学士学位), 2022

  • CCF Elite Collegiate Award (CCF优秀大学生奖), 2021

  • Gold Medal in the 45th International Collegiate Programming Contest (ICPC) Asia Regional Contest, 2021

  • Gold Medal in the 44th International Collegiate Programming Contest (ICPC) Asia Regional Contest, 2019

  • Outstanding Undergraduates in Term of Academic Performance (华中科技大学本科特优生), 2019

  • Excellent Performance in Deep Learning Custom Program, University of California Los Angeles, 2019

Talks

02/2025 "GPHash: An Efficient Hash Index for GPU with Byte-Granularity Persistent Memory", Paper Presentation in the 23rd USENIX Conference on File and Storage Technologies (FAST 2025) Santa Clara, CA, USA
11/2023 "PMA: A Persistent Memory Allocator with High Efficiency and Crash Consistency Guarantee", Paper Presentation in the 41st IEEE International Conference on Computer Design (ICCD 2023) Washington D.C., USA
11/2023 "A Cost-Efficient Failure-Tolerant Scheme for Distributed DNN Training", Paper Presentation in the 41st IEEE International Conference on Computer Design (ICCD 2023) Washington D.C., USA