Man-Kit Sit

According to our database, Man-Kit Sit authored at least 6 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Quiver: Supporting GPUs for Low-Latency, High-Throughput GNN Serving with Workload Awareness.

Zeyuan Tan, Xiulong Yuan, Congjie He, Man-Kit Sit, Guo Li, Xiaoze Liu, Baole Ai, Kai Zeng, Peter R. Pietzuch, Luo Mai

CoRR, 2023

GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models.

Hanjing Wang, Man-Kit Sit, Congjie He, Ying Wen, Weinan Zhang, Jun Wang, Yaodong Yang, Luo Mai

Proceedings of the International Conference on Machine Learning, 2023

2022

Ekko: A Large-Scale Deep Learning Recommender System with Low-Latency Model Update.

Chijun Sima, Yao Fu, Man-Kit Sit, Liyi Guo, Xuri Gong, Feng Lin, Junyu Wu, Yongsheng Li, Haidong Rong, Pierre-Louis Aublin, Luo Mai

Proceedings of the 16th USENIX Symposium on Operating Systems Design and Implementation, 2022

2021

An experimental framework for improving the performance of BFT consensus for future permissioned blockchains.

Man-Kit Sit, Manuel Bravo, Zsolt István

Proceedings of the 15th ACM International Conference on Distributed and Event-based Systems, 2021

2020

Towards Improving the Performance of BFT Consensus For Future Permissioned Blockchains.

Manuel Bravo, Zsolt István, Man-Kit Sit

CoRR, 2020

2019

Towards Efficient Deep Neural Network Training by FPGA-Based Batch-Level Parallelism.

Cheng Luo, Man-Kit Sit, Hongxiang Fan, Shuanglong Liu, Wayne Luk, Ce Guo

Proceedings of the 27th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2019