34 citations · 34 across the 3 of their papers we have counts for
3 papers
cs.DC2023
FlatProxy: A DPU-centric Service Mesh Architecture for Hyperscale Cloud-native Application
Ming Li, Wenyan Lu, Hanyue Lin +3
Service mesh is a fundamental technology for building cloud-native applications, which ensures the stable running of a large number of services by an intermediate layer that govern…
cs.LG2018
Tetris: Re-architecting Convolutional Neural Network Computation for Machine Learning Accelerators
Hang Lu, Xin Wei, Ning Lin +2
Inference efficiency is the predominant consideration in designing deep learning accelerators. Previous work mainly focuses on skipping zero values to deal with remarkable ineffect…
cs.LG2018★ 34 cited
AxTrain: Hardware-Oriented Neural Network Training for Approximate Inference
Xin He, Liu Ke, Wenyan Lu +2
The intrinsic error tolerance of neural network (NN) makes approximate computing a promising technique to improve the energy efficiency of NN inference. Conventional approximate co…