activity
20192021
most citedArtificial Intelligence at the Edge

8 citations · 19 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NI2021★ 2 cited

PL2: Towards Predictable Low Latency in Rack-Scale Networks

Yanfang Le, Radhika Niranjan Mysore, Lalith Suresh +4

High performance rack-scale offerings package disaggregated pools of compute, memory and storage hardware in a single rack to run diverse workloads with varying requirements, inclu…

cs.CY2020★ 7 cited

Infrastructure for Artificial Intelligence, Quantum and High Performance Computing

William Gropp, Sujata Banerjee, Ian Foster

High Performance Computing (HPC), Artificial Intelligence (AI)/Machine Learning (ML), and Quantum Computing (QC) and communications offer immense opportunities for innovation and i…

cs.CY2020

Modernizing Data Control: Making Personal Digital Data Mutually Beneficial for Citizens and Industry

Sujata Banerjee, Yiling Chen, Kobbi Nissim +3

We are entering a new "data everywhere-anytime" era that pivots us from being tracked online to continuous tracking as we move through our everyday lives. We have smart devices in…

cs.CY2020★ 8 cited

Artificial Intelligence at the Edge

Elisa Bertino, Sujata Banerjee

The Internet of Things (IoT) and edge computing applications aim to support a variety of societal needs, including the global pandemic situation that the entire world is currently…

cs.DC2019★ 2 cited

SNF: Serverless Network Functions

Arjun Singhvi, Junaid Khalid, Aditya Akella +1

It is increasingly common to outsource network functions (NFs) to the cloud. However, no cloud providers offer NFs-as-a-Service (NFaaS) that allows users to run custom NFs. Our wor…