Variation-Aware Scheduling for Chip Multiprocessors with Thread Level Redundancy. - Jianbo Dong; Lei Zhang 008; Yinhe Han 001; Guihai Yan; Xiaowei Li 001 (PRDC, 2009)

Performance-asymmetry-aware topology virtualization for defect-tolerant NoC-based many-core processors. - Lei Zhang 008; Yue Yu; Jianbo Dong; Yinhe Han 001; Shangping Ren; Xiaowei Li 001 (DATE, 2010)

Performance-asymmetry-aware scheduling for Chip Multiprocessors with static core coupling. - Jianbo Dong; Lei Zhang 008; Yinhe Han 001; Guihai Yan; Xiaowei Li 001 (J. Syst. Archit., 2010)

Wear rate leveling: lifetime enhancement of PRAM with endurance variation. - Jianbo Dong; Lei Zhang 008; Yinhe Han 001; Ying Wang 001; Xiaowei Li 001 (DAC, 2011)

Cost effective data center servers. - Rui Hou 001; Tao Jiang 010; Liuhang Zhang; Pengfei Qi; Jianbo Dong; Haibin Wang; Xiongli Gu; Shujie Zhang (HPCA, 2013)

Adapting Memory Hierarchies for Emerging Datacenter Interconnects. - Tao Jiang 010; Rui Hou 001; Jianbo Dong; Lin Chai; Sally A. McKee; Bin Tian; Lixin Zhang 002; Ninghui Sun (J. Comput. Sci. Technol., 2015)

P-Socket: optimizing a communication library for a PCIe-based intra-rack interconnect. - Liuhang Zhang; Rui Hou 001; Sally A. McKee; Jianbo Dong; Lixin Zhang 002 (Conf. Computing Frontiers, 2016)

Venice: Exploring server architectures for effective resource sharing. - Jianbo Dong; Rui Hou 001; Michael C. Huang 001; Tao Jiang 010; Boyan Zhao; Sally A. McKee; Haibin Wang; Xiaosong Cui; Lixin Zhang 002 (HPCA, 2016)

Enhanced Wear-Rate Leveling for PRAM Lifetime Improvement Considering Process Variation. - Yinhe Han 001; Jianbo Dong; Kaiheng Weng; Ying Wang 001; Xiaowei Li 001 (IEEE Trans. Very Large Scale Integr. Syst., 2016)

Venice: An Effective Resource Sharing Architecture for Data Center Servers. - Boyan Zhao; Rui Hou 001; Jianbo Dong; Michael C. Huang 001; Sally A. McKee; Qianlong Zhang; Yueji Liu; Ye Li; Lixin Zhang 002; Dan Meng 002 (ACM Trans. Comput. Syst., 2018)

EFLOPS: Algorithm and System Co-Design for a High Performance Distributed Training Platform. - Jianbo Dong; Zheng Cao 003; Tao Zhang; Jianxi Ye; Shaochuang Wang; Fei Feng; Li Zhao; Xiaoyong Liu; Liuyihan Song; Liwei Peng; Yiqun Guo; Xiaowei Jiang; et al. (HPCA, 2020)

Dissecting the Communication Latency in Distributed Deep Sparse Learning. - Heng Pan; Zhenyu Li 001; Jianbo Dong; Zheng Cao 003; Tao Lan; Di Zhang; Gareth Tyson; Gaogang Xie (Internet Measurement Conference, 2020)

ACCL: Architecting Highly Scalable Distributed Training Systems With Highly Efficient Collective Communication Library. - Jianbo Dong; Shaochuang Wang; Fei Feng; Zheng Cao 003; Heng Pan; Lingbo Tang; Pengcheng Li; Hao Li; Qianyuan Ran; Yiqun Guo; Shanyuan Gao; Xin Long; et al. (IEEE Micro, 2021)

SPACE-2: Tree-Structured Semi-Supervised Contrastive Pre-training for Task-Oriented Dialog Understanding. - Wanwei He; Yinpei Dai; Binyuan Hui; Min Yang 007; Zheng Cao 003; Jianbo Dong; Fei Huang 002; Luo Si; Yongbin Li (COLING, 2022)

PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems. - Yuanxing Zhang; Langshi Chen; Siran Yang; Man Yuan; Huimin Yi; Jie Zhang 078; Jiamang Wang; Jianbo Dong; Yunlong Xu; Yue Song; Yong Li 020; Di Zhang; et al. (ICDE, 2022)

Libra: In-network Gradient Aggregation for Speeding up Distributed Sparse Deep Training. - Heng Pan; Penglai Cui; Zhenyu Li 001; Ru Jia; Penghao Zhang; Leilei Zhang; Ye Yang; Jiahao Wu; Jianbo Dong; Zheng Cao 003; Qiang Li 045; Hongqiang Harry Liu; et al. (CoRR, 2022)

Lamda: The Last Mile of the Datacenter Network Does matter. - Qiang Li 045; Qiao Xiang; Derui Liu; Yuxin Wang; Haonan Qiu; Gexiao Tian; Xiaoliang Wang 001; Lulu Chen; Ridi Wen; Jianbo Dong; Yuanyuan Gong; Yixiao Gao; et al. (CoRR, 2022)

Enabling Switch Memory Management for Distributed Training with In-Network Aggregation. - Bohan Zhao; Chang Liu; Jianbo Dong; Zheng Cao; Wei Nie; Wenfei Wu (INFOCOM, 2023)

Flor: An Open High Performance RDMA Framework Over Heterogeneous RNICs. - Qiang Li 045; Yixiao Gao; Xiaoliang Wang 001; Haonan Qiu; Yanfang Le; Derui Liu; Qiao Xiang; Fei Feng; Peng Zhang; Bo Li 061; Jianbo Dong; Lingbo Tang; et al. (OSDI, 2023)

Kspeed: Beating I/O Bottlenecks of Data Provisioning for RDMA Training Clusters. - Jianbo Dong; Hao Qi; Tianjing Xu; Xiaoli Liu 002; Chen Wei; Rongyao Wang; Xiaoyi Lu; Zheng Cao 003; Binzhang Fu (ICNP, 2024)

Crux: GPU-Efficient Communication Scheduling for Deep Learning Training. - Jiamin Cao; Yu Guan; Kun Qian; Jiaqi Gao; Wencong Xiao; Jianbo Dong; Binzhang Fu; Dennis Cai; Ennan Zhai (SIGCOMM, 2024)

Boosting Large-scale Parallel Training Efficiency with C4: A Communication-Driven Approach. - Jianbo Dong; Bin Luo; Jun Zhang; Pengcheng Zhang; Fei Feng; Yikai Zhu; Ang Liu; Zian Chen; Yi Shi; Hairong Jiao; Gang Lu; Yu Guan; et al. (CoRR, 2024)

Enhancing Large-Scale AI Training Efficiency: The C4 Solution for Real-Time Anomaly Detection and Communication Optimization. - Jianbo Dong; Bin Luo; Jun Zhang; Pengcheng Zhang; Fei Feng; Yikai Zhu; Ang Liu; Zian Chen; Yi Shi; Hairong Jiao; Gang Lu; Yu Guan; et al. (HPCA, 2025)

Evolution of Aegis: Fault Diagnosis for AI Model Training Service in Production. - Jianbo Dong; Kun Qian; Pengcheng Zhang; Zhilong Zheng; Liang Chen; Fei Feng; Yichi Xu; Yikai Zhu; Gang Lu; Xue Li; Zhihui Ren; Zhicheng Wang; et al. (NSDI, 2025)

GPU-Disaggregated Serving for Deep Learning Recommendation Models at Scale. - Lingyun Yang; Yongchen Wang; Yinghao Yu; Qizhen Weng; Jianbo Dong; Kan Liu; Chi Zhang; Yanyi Zi; Hao Li; Zechao Zhang; Nan Wang; Yu Dong; et al. (NSDI, 2025)