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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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