3 citations · 4 across the 3 of their papers we have counts for
4 papers
Understanding Capacity-Driven Scale-Out Neural Recommendation Inference
Michael Lui, Yavuz Yetim, Özgür Özkan +4
Deep learning recommendation models have grown to the terabyte scale. Traditional serving schemes--that load entire models to a single server--are unable to support this scale. One…
A Double-Edged Sword: Security Threats and Opportunities in One-Sided Network Communication
Shin-Yeh Tsai, Yiying Zhang
One-sided network communication technologies such as RDMA and NVMe-over-Fabrics are quickly gaining adoption in production software and in datacenters. Although appealing for their…
Building Atomic, Crash-Consistent Data Stores with Disaggregated Persistent Memory
Shin-Yeh Tsai, Yiying Zhang
Byte-addressable persistent memories (PM) has finally made their way into production. An important and pressing problem that follows is how to deploy them in existing datacenters.…
Exploiting Network Loss for Distributed Approximate Computing with NetApprox
Ke Liu, Jinmou Li, Shin-Yeh Tsai +2
Many data center applications such as machine learning and big data analytics can complete their analysis without processing the complete set of data. While extensive approximate-a…