3 citations · 6 across the 2 of their papers we have counts for
6 papers
Dash: Scalable Hashing on Persistent Memory
Baotong Lu, Xiangpeng Hao, Tianzheng Wang +1
Byte-addressable persistent memory (PM) brings hash tables the potential of low latency, cheap persistence and instant recovery. The recent advent of Intel Optane DC Persistent Mem…
Top-K Deep Video Analytics: A Probabilistic Approach
Ziliang Lai, Chenxia Han, Chris Liu +3
The impressive accuracy of deep neural networks (DNNs) has created great demands on practical analytics over video data. Although efficient and accurate, the latest video analytic…
High Performance Depthwise and Pointwise Convolutions on Mobile Devices
Pengfei Zhang, Eric Lo, Baotong Lu
Lightweight convolutional neural networks (e.g., MobileNets) are specifically designed to carry out inference directly on mobile devices. Among the various lightweight models, dept…
Towards Self-Tuning Parameter Servers
Chris Liu, Pengfei Zhang, Bo Tang +4
Recent years, many applications have been driven advances by the use of Machine Learning (ML). Nowadays, it is common to see industrial-strength machine learning jobs that involve…
Decentralized Search on Decentralized Web
Ziliang Lai, Chris Liu, Eric Lo +2
Decentralized Web, or DWeb, is envisioned as a promising future of the Web. Being decentralized, there are no dedicated web servers in DWeb; Devices that retrieve web contents also…
InferSpark: Statistical Inference at Scale
Zhuoyue Zhao, Jialing Pei, Eric Lo +2
The Apache Spark stack has enabled fast large-scale data processing. Despite a rich library of statistical models and inference algorithms, it does not give domain users the abilit…