211 citations · 353 across the 22 of their papers we have counts for
4 papers · 1 filter
Survey: Exploiting Data Redundancy for Optimization of Deep Learning
Jou-An Chen, Wei Niu, Bin Ren +2
Data redundancy is ubiquitous in the inputs and intermediate results of Deep Neural Networks (DNN). It offers many significant opportunities for improving DNN performance and effic…
Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution
Yushu Wu, Yifan Gong, Pu Zhao +7
Deep learning-based super-resolution (SR) has gained tremendous popularity in recent years because of its high image quality performance and wide application scenarios. However, pr…
CoCoPIE XGen: A Full-Stack AI-Oriented Optimizing Framework
Xiaofeng Li, Bin Ren, Xipeng Shen +1
There is a growing demand for shifting the delivery of AI capability from data centers on the cloud to edge or end devices, exemplified by the fast emerging real-time AI-based apps…
Speed-ANN: Low-Latency and High-Accuracy Nearest Neighbor Search via Intra-Query Parallelism
Zhen Peng, Minjia Zhang, Kai Li +2
Nearest Neighbor Search (NNS) has recently drawn a rapid increase of interest due to its core role in managing high-dimensional vector data in data science and AI applications. The…