Hot Networking Technologies
As the networking technologies continue to evolve in High-End Computing (HEC) platforms, it becomes increasingly essential and challenging to understand, design, and develop efficient communication protocols and in-network computing schemes for time-critical High-Performance Computing (HPC) , Big Data, AI, and Cloud applications. PADSYS Lab's research on this direction will play significant impact on enabling optimizations of HPC, Big Data, AI, and Cloud applications that run on top of high-performance interconnects.
(Note: Logo is designed by PADSYS Lab. All rights reserved.)
PADSYS Lab members design and develop high-performance and scalable communication protocols and in-network computing schemes for time-critical High-Performance Computing (HPC) , Big Data, AI, and Cloud applications. We are particularly interested in the following topics:
- RDMA
- InfiniBand
- RoCE (v1/v2)
- NVMe-over-Fabrics
- GPUDirect RDMA
- In-Network Computing
Acknowledgement
Thanks a lot for NSF's support on this research direction!
Grant Information:
Software Release
-
High-Performance Big Data (HiBD). Prof. Xiaoyi Lu was the co-founder and R&D leader for this project when he worked at OSU. Some of his students had contributed a lot of effort and time on this project as well.
-
RDMA-TensorFlow. Prof. Xiaoyi Lu was the co-founder and R&D leader for this project when he worked at OSU.