6 citations · 9 across the 5 of their papers we have counts for
5 papers
Analysis of Distributed Deep Learning in the Cloud
Aakash Sharma, Vivek M. Bhasi, Sonali Singh +6
We aim to resolve this problem by introducing a comprehensive distributed deep learning (DDL) profiler, which can determine the various execution "stalls" that DDL suffers from whi…
Cocktail: Leveraging Ensemble Learning for Optimized Model Serving in Public Cloud
Jashwant Raj Gunasekaran, Cyan Subhra Mishra, Prashanth Thinakaran +2
With a growing demand for adopting ML models for a varietyof application services, it is vital that the frameworks servingthese models are capable of delivering highly accurate pre…
Fifer: Tackling Underutilization in the Serverless Era
Jashwant Raj Gunasekaran, Prashanth Thinakaran, Nachiappan Chidambaram +2
Datacenters are witnessing a rapid surge in the adoption of serverless functions for microservices-based applications. A vast majority of these microservices typically span less th…
Towards Designing a Self-Managed Machine Learning Inference Serving System inPublic Cloud
Jashwant Raj Gunasekaran, Prashanth Thinakaran, Cyan Subhra Mishra +2
We are witnessing an increasing trend towardsusing Machine Learning (ML) based prediction systems, span-ning across different application domains, including productrecommendation s…
Multiverse: Dynamic VM Provisioning for Virtualized High Performance Computing Clusters
Jashwant Raj Gunasekaran, Michael Cui, Prashanth Thinakaran +3
Traditionally, HPC workloads have been deployed in bare-metal clusters; but the advances in virtualization have led the pathway for these workloads to be deployed in virtualized cl…