232 citations · 472 across the 5 of their papers we have counts for
4 papers · 1 filter
Optimizing Prediction Serving on Low-Latency Serverless Dataflow
Vikram Sreekanti, Harikaran Subbaraj, Chenggang Wu +2
Prediction serving systems are designed to provide large volumes of low-latency inferences machine learning models. These systems mix data processing and computationally intensive…
Hindsight Logging for Model Training
Rolando Garcia, Eric Liu, Vikram Sreekanti +5
In modern Machine Learning, model training is an iterative, experimental process that can consume enormous computation resources and developer time. To aid in that process, experie…
A Fault-Tolerance Shim for Serverless Computing
Vikram Sreekanti, Chenggang Wu, Saurav Chhatrapati +3
Serverless computing has grown in popularity in recent years, with an increasing number of applications being built on Functions-as-a-Service (FaaS) platforms. By default, FaaS pla…
Cloudburst: Stateful Functions-as-a-Service
Vikram Sreekanti, Chenggang Wu, Xiayue Charles Lin +5
Function-as-a-Service (FaaS) platforms and "serverless" cloud computing are becoming increasingly popular. Current FaaS offerings are targeted at stateless functions that do minima…