Man-Kit Sit

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 7

Top Topics

Learning Models

Neural Network Training

Reinforcement Learning

Mass Spectrometry

Top Venues

Publications

Hanjing Wang, Man-Kit Sit, Congjie He, Ying Wen, Weinan Zhang, Jun Wang, Yaodong Yang, Luo Mai
GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models. CoRR (2023)
Hanjing Wang, Man-Kit Sit, Congjie He, Ying Wen, Weinan Zhang, Jun Wang, Yaodong Yang, Luo Mai
GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models. ICML (2023)
Zeyuan Tan, Xiulong Yuan, Congjie He, Man-Kit Sit, Guo Li, Xiaoze Liu, Baole Ai, Kai Zeng, Peter R. Pietzuch, Luo Mai
Quiver: Supporting GPUs for Low-Latency, High-Throughput GNN Serving with Workload Awareness. CoRR (2023)
Chijun Sima, Yao Fu, Man-Kit Sit, Liyi Guo, Xuri Gong, Feng Lin, Junyu Wu, Yongsheng Li, Haidong Rong, Pierre-Louis Aublin, Luo Mai
Ekko: A Large-Scale Deep Learning Recommender System with Low-Latency Model Update. OSDI (2022)
Man-Kit Sit, Manuel Bravo, Zsolt István
An experimental framework for improving the performance of BFT consensus for future permissioned blockchains. DEBS (2021)
Manuel Bravo, Zsolt István, Man-Kit Sit
Towards Improving the Performance of BFT Consensus For Future Permissioned Blockchains. CoRR (2020)
Cheng Luo, Man-Kit Sit, Hongxiang Fan, Shuanglong Liu, Wayne Luk, Ce Guo
Towards Efficient Deep Neural Network Training by FPGA-Based Batch-Level Parallelism. FCCM (2019)