3 citations · 4 across the 2 of their papers we have counts for
3 papers
cs.DC2020
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…
cs.CR2019★ 3 cited
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…
cs.DC2019★ 1 cited
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.…