activity
20192025
most citedScaling Molecular Dynamics with ab initio Accuracy to 149 Nanoseconds per Day

6 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DC2025

Scaling Neural-Network-Based Molecular Dynamics with Long-Range Electrostatic Interactions to 51 Nanoseconds per Day

Jianxiong Li, Beining Zhang, Mingzhen Li +7

Neural network-based molecular dynamics (NNMD) simulations incorporating long-range electrostatic interactions have significantly extended the applicability to heterogeneous and io…

cs.DC2024★ 6 cited

Scaling Molecular Dynamics with ab initio Accuracy to 149 Nanoseconds per Day

Jianxiong Li, Boyang Li, Zhuoqiang Guo +7

Physical phenomena such as chemical reactions, bond breaking, and phase transition require molecular dynamics (MD) simulation with ab initio accuracy ranging from milliseconds to m…

cs.NI2024

JingZhao: A Framework for Rapid NIC Prototyping in the Domain-Specific-Network Era

Fan Yang, Zhan Wang, Ning Kang +4

The network is becoming domain-specific, which requires on-demand design of the network protocols, as well as the microarchitecture of the NIC. However, to develop such a NIC is no…

cs.NI2024

FNCC: Fast Notification Congestion Control in Data Center Networks

Jing Xu, Zhan Wang, Fan Yang +5

Congestion control plays a pivotal role in large-scale data centers, facilitating ultra-low latency, high bandwidth, and optimal utilization. Even with the deployment of data cente…

cs.DC2019★ 2 cited

SwitchAgg:A Further Step Towards In-Network Computation

Fan Yang, Zhan Wang, Xiaoxiao Ma +2

Many distributed applications adopt a partition/aggregation pattern to achieve high performance and scalability. The aggregation process, which usually takes a large portion of the…