|头衔职位||Professor, Hong Kong University of Science and Technology|
As datacenter networks migrate from 10Gb/s to 100Gb/s and beyond, the traditional software-based TCP/IP stack cannot keep up with the increasing network speed. Consequently, hardware-based RDMA (Remote Direct Memory Access), originally invented in HPC, is now experiencing a renaissance in Ethernet-based datacenters. However, RDMA relies on lossless fabric to take effect, which poses various challenges for lossy datacenter networks. This talk will overview the research works from the community in recent years to address these challenges, as well as our efforts in the iSING Lab towards building a scalable and efficient RDMA networking for datacenters.
Kai Chen is a Professor at HKUST, directing the iSING Lab and WHAT Lab. He received his BS and MS from University of Science and Technology of China (USTC) in 2004 and 2007, and PhD from Northwestern University in 2012, respectively. His research interests include Data Center Networking, High-Performance Networking, Machine Learning Systems, and Privacy-preserving Computing. His work has been published in various top venues including SIGCOMM, NSDI, OSDI, etc., including a SIGCOMM best paper candidate. He is the Steering Committee Chair of APNet, serves on the Program Committees of SIGCOMM, NSDI, CoNEXT, etc., and Editorial Boards of IEEE/ACM Transactions on Networking, Big Data, and Cloud Computing. For more info, please visit https://cse.hkust.edu.hk/~kaichen/.