1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.IR2024
Fine-Grained Embedding Dimension Optimization During Training for Recommender Systems
Qinyi Luo, Penghan Wang, Wei Zhang +8
Huge embedding tables in modern deep learning recommender models (DLRM) require prohibitively large memory during training and inference. This paper proposes FIITED, a system to au…
cs.SE2022★ 1 cited
AFETM: Adaptive function execution trace monitoring for fault diagnosis
Wei Zhang, Yuxi Hu, Bolong Tan +2
The high tracking overhead, the amount of up-front effort required to selecting the trace points, and the lack of effective data analysis model are the significant barriers to the…
cs.SE2022
Fault Injection based Failure Analysis of three CentOS-like Operating Systems
Hao Xu, Yuxi Hu, Bolong Tan +4
The reliability of operating system (OS) has always been a major concern in the academia and industry. This paper studies how to perform OS failure analysis by fault injection base…