2 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.DC2023★ 1 cited
Isolated Scheduling for Distributed Training Tasks in GPU Clusters
Xinchi Han, Weihao Jiang, Peirui Cao +5
Distributed machine learning (DML) technology makes it possible to train large neural networks in a reasonable amount of time. Meanwhile, as the computing power grows much faster t…
cs.NI2023
ONCache: A Cache-Based Low-Overhead Container Overlay Network
Shengkai Lin, Shizhen Zhao, Peirui Cao +6
Recent years have witnessed a widespread adoption of containers. While containers simplify and accelerate application development, existing container network technologies either in…
cs.NI2023★ 2 cited
Efficient Routing Algorithm Design for Large DetNet
Shizhen Zhao, Tianyu Zhu, Ximeng Liu
Deterministic Networking (DetNet) is a rising technology that offers deterministic delay \& jitter and zero packet loss regardless of failures in large IP networks. In order to sup…