71 citations · 314 across the 33 of their papers we have counts for
13 papers · 1 filter
Online Conversion with Switching Costs: Robust and Learning-Augmented Algorithms
Adam Lechowicz, Nicolas Christianson, Bo Sun +4
We introduce and study online conversion with switching costs, a family of online problems that capture emerging problems at the intersection of energy and sustainability. In this…
EcoLearn: Optimizing the Carbon Footprint of Federated Learning
Talha Mehboob, Noman Bashir, Jesus Omana Iglesias +2
Federated Learning (FL) distributes machine learning (ML) training across edge devices to reduce data transfer overhead and protect data privacy. Since FL model training may span h…
Carbon Containers: A System-level Facility for Managing Application-level Carbon Emissions
John Thiede, Noman Bashir, David Irwin +1
To reduce their environmental impact, cloud datacenters' are increasingly focused on optimizing applications' carbon-efficiency, or work done per mass of carbon emitted. To facilit…
WattScope: Non-intrusive Application-level Power Disaggregation in Datacenters
Xiaoding Guan, Noman Bashir, David Irwin +1
Datacenter capacity is growing exponentially to satisfy the increasing demand for emerging computationally-intensive applications, such as deep learning. This trend has led to conc…
Investigating the Correlation Between Presence and Reaction Time in Mixed Reality
Yasra Chandio, Noman Bashir, Victoria Interrante +1
Measuring presence is critical to improving user involvement and performance in Mixed Reality (MR). \emph{Presence}, a crucial aspect of MR, is traditionally gauged using subjectiv…
Untangling Carbon-free Energy Attribution and Carbon Intensity Estimation for Carbon-aware Computing
Diptyaroop Maji, Noman Bashir, David Irwin +2
Many organizations, including governments, utilities, and businesses, have set ambitious targets to reduce carbon emissions for their Environmental, Social, and Governance (ESG) go…