77 citations · 148 across the 5 of their papers we have counts for
3 papers · 1 filter
Understanding Data Storage and Ingestion for Large-Scale Deep Recommendation Model Training
Mark Zhao, Niket Agarwal, Aarti Basant +14
Datacenter-scale AI training clusters consisting of thousands of domain-specific accelerators (DSA) are used to train increasingly-complex deep learning models. These clusters rely…
ShEF: Shielded Enclaves for Cloud FPGAs
Mark Zhao, Mingyu Gao, Christos Kozyrakis
FPGAs are now used in public clouds to accelerate a wide range of applications, including many that operate on sensitive data such as financial and medical records. We present ShEF…
Llama: A Heterogeneous & Serverless Framework for Auto-Tuning Video Analytics Pipelines
Francisco Romero, Mark Zhao, Neeraja J. Yadwadkar +1
The proliferation of camera-enabled devices and large video repositories has led to a diverse set of video analytics applications. These applications rely on video pipelines, repre…