7 citations · 15 across the 5 of their papers we have counts for
5 papers · 1 filter
Enabling Fast and Flexible Distributed Deep Learning with Programmable Switches
Heng Pan, Penglai Cui, Zhenyu li +11
Deep learning has been used in a wide range of areas and made a huge breakthrough. With the ever-increasing model size and train-ing data volume, distributed deep learning emerges…
BBRv2+:Towards Balancing Aggressiveness and Fairness with Delay-based Bandwidth Probing
Furong Yang, Qinghua Wu, Zhenyu Li +3
BBRv2, proposed by Google, aims at addressing BBR's shortcomings of unfairness against loss-based congestion control algorithms (CCAs) and excessive retransmissions in shallow-buff…
NetFC: enabling accurate floating-point arithmetic on programmable switches
Penglai Cui, Heng Pan, Zhenyu Li +5
In-network computation has been widely used to accelerate data-intensive distributed applications. Some computational tasks, traditional performed on servers, are offloaded to the…
Cross-layer Path Selection in Multi-path Transport Protocol for Mobile Devices
Binbin Liao, Guangxing Zhang, Qinghua Wu +2
MPTCP is a new transport protocol that enables mobile devices to use multiple physical paths simultaneously through several network interfaces, such as WiFi and Cellular. However,…
RVH: Range-Vector Hash for Fast Online Packet Classification
Tong Shen, Gaogang Xie, Xin Wang +4
Packet classification according to multi-field ruleset is a key component for many network applications. Emerging software defined networking and cloud computing need to update the…