Samsara: Efficient Deterministic Replay with Hardware Virtualization Extensions. - Shiru Ren; Chunqi Li; Le Tan; Zhen Xiao (APSys, 2015)

Samsara: Efficient Deterministic Replay in Multiprocessor Environments with Hardware Virtualization Extensions. - Shiru Ren; Le Tan; Chunqi Li; Zhen Xiao; Weijia Song (USENIX ATC, 2016)

Leveraging Hardware-Assisted Virtualization for Deterministic Replay on Commodity Multi-Core Processors. - Shiru Ren; Le Tan; Chunqi Li; Zhen Xiao; Weijia Song (IEEE Trans. Computers, 2018)

Phantasy: Low-Latency Virtualization-Based Fault Tolerance via Asynchronous Prefetching. - Shiru Ren; Yunqi Zhang; Lichen Pan; Zhen Xiao (IEEE Trans. Computers, 2019)

AntMan: Dynamic Scaling on GPU Clusters for Deep Learning. - Wencong Xiao; Shiru Ren; Yong Li 020; Yang Zhang; Pengyang Hou; Zhi Li; Yihui Feng; Wei Lin 016; Yangqing Jia (OSDI, 2020)

EasyScale: Accuracy-consistent Elastic Training for Deep Learning. - Mingzhen Li 001; Wencong Xiao; Biao Sun; Hanyu Zhao; Hailong Yang 002; Shiru Ren; Zhongzhi Luan; Xianyan Jia; Yi Liu 013; Yong Li 020; Depei Qian; Wei Lin 016 (CoRR, 2022)

EasyScale: Elastic Training with Consistent Accuracy and Improved Utilization on GPUs. - Mingzhen Li 001; Wencong Xiao; Hailong Yang 002; Biao Sun; Hanyu Zhao; Shiru Ren; Zhongzhi Luan; Xianyan Jia; Yi Liu 013; Yong Li 020; Wei Lin 016; Depei Qian (SC, 2023)

GoldMiner: Elastic Scaling of Training Data Pre-Processing Pipelines for Deep Learning. - Hanyu Zhao; Zhi Yang 001; Yu Cheng; Chao Tian 001; Shiru Ren; Wencong Xiao; Man Yuan; Langshi Chen; Kaibo Liu; Yang Zhang; Yong Li 020; Wei Lin 016 (Proc. ACM Manag. Data, 2023)

Primus: Unified Training System for Large-Scale Deep Learning Recommendation Models. - Jixi Shan; Xiuqi Huang; Yang Guo; Hongyue Mao; Ho-Pang Hsu; Hang Cheng; Can Wang; Jun Song; Rui Shi; Xiaofeng Gao 001; Jingwei Xu; Shiru Ren; et al. (USENIX ATC, 2025)

LONGER: Scaling Up Long Sequence Modeling in Industrial Recommenders. - Zheng Chai; Qin Ren; Xijun Xiao; Huizhi Yang; Bo Han; Sijun Zhang; Di Chen; Hui Lu; Wenlin Zhao; Lele Yu; Xionghang Xie; Shiru Ren; et al. (CoRR, 2025)