9 citations · 19 across the 6 of their papers we have counts for
6 papers
RL-Scope: Cross-Stack Profiling for Deep Reinforcement Learning Workloads
James Gleeson, Srivatsan Krishnan, Moshe Gabel +3
Deep reinforcement learning (RL) has made groundbreaking advancements in robotics, data center management and other applications. Unfortunately, system-level bottlenecks in RL work…
A Survey on Edge Performance Benchmarking
Blesson Varghese, Nan Wang, David Bermbach +4
Edge computing is the next Internet frontier that will leverage computing resources located near users, sensors, and data stores to provide more responsive services. Therefore, it…
The Ground Truth Trade-Off in Wearable Sensing Studies
Daniyal Liaqat, Robert Wu, Salaar Liaqat +3
Perez et al's study using the Apple Watch to identify atrial fibrillation (AF) is a watershed moment in large-scale machine learning for wearable computing. Identifying relevant pa…
DeFog: Fog Computing Benchmarks
Jonathan McChesney, Nan Wang, Ashish Tanwer +2
Fog computing envisions that deploying services of an application across resources in the cloud and those located at the edge of the network may improve the overall performance of…
Wrist02 -- Reliable Peripheral Oxygen Saturation Readings from Wrist-Worn Pulse Oximeters
Caleb Phillips, Daniyal Liaqat, Moshe Gabel +1
Peripheral blood oxygen saturation Sp02 is a vital measure in healthcare. Modern off-the-shelf wrist-worn devices, such as the Apple Watch, FitBit, and Samsung Gear, have an onboar…
The Case for a Single System Image for Personal Devices
Beom Heyn Kim, Eyal de Lara, David Lie
Computing technology has gotten cheaper and more powerful, allowing users to have a growing number of personal computing devices at their disposal. While this trend is beneficial f…