publications

2023

1. ICML

   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, and Luo Mai

   In 2023 International Conference on Machine Learning, Jul 2023

   PDF
2. arXiv

   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 Pietzuch, and Luo Mai

   Jul 2023

   PDF Code

2022

1. OSDI

   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, and Luo Mai

   In 16th USENIX Symposium on Operating Systems Design and Implementation (OSDI 22), Jul 2022

   PDF

2020

1. arXiv

   Towards Improving the Performance of BFT Consensus For Future Permissioned Blockchains

   Manuel Bravo, Zsolt István, and Man-Kit Sit

   CoRR, Jul 2020

   PDF

2019

1. FCCM

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

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

   In 2019 IEEE 27th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), Jul 2019

   PDF

2017

1. FPT

   FPGA-based Accelerator for Losslessly Quantized Convolutional Neural Networks

   Man-Kit Sit, Ryosuke Kazami, and Hideharu Amano

   In 2017 International Conference on Field Programmable Technology (ICFPT), Jul 2017

   PDF