activity
20152023
most citedResource-Efficient Deep Learning: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques

39 citations · 47 across the 6 of their papers we have counts for

collaborators

6 papers

cs.NI2023

A case study on latency, bandwidth and energy efficiency of mobile 5G and YouTube Edge service in London. Why the 5G ecosystem and energy efficiency matter?

Peixuan Song, JunKyu Lee, Lev Mukhanov

The advancements in 5G mobile networks and Edge computing offer great potential for services like augmented reality and Cloud gaming, thanks to their low latency and high bandwidth…

cs.LG2021★ 39 cited

Resource-Efficient Deep Learning: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques

JunKyu Lee, Lev Mukhanov, Amir Sabbagh Molahosseini +6

Deep learning is pervasive in our daily life, including self-driving cars, virtual assistants, social network services, healthcare services, face recognition, etc. However, deep ne…

eess.SP2021

A case study on profiling of an EEG-based brain decoding interface on Cloud and Edge servers

Alexandra Samsonova, Barry J. Devereux, Georgios Karakonstantis +1

Brain-Computer Interfaces (BCIs) enable converting the brain electrical activity of an interface user to the user commands. BCI research studies demonstrated encouraging results in…

cs.PF2021

Leveraging Transprecision Computing for Machine Vision Applications at the Edge

Umar Ibrahim Minhas, Lev Mukhanov, Georgios Karakonstantis +2

Machine vision tasks present challenges for resource constrained edge devices, particularly as they execute multiple tasks with variable workloads. A robust approach that can dynam…

cs.DC2020

Workload-Aware DRAM Error Prediction using Machine Learning

Lev Mukhanov, Konstantinos Tovletoglou, Hans Vandierendonck +2

The aggressive scaling of technology may have helped to meet the growing demand for higher memory capacity and density, but has also made DRAM cells more prone to errors. Such a re…

cs.PF2015★ 8 cited

ALEA: Fine-grain Energy Profiling with Basic Block Sampling

Lev Mukhanov, Dimitrios S. Nikolopoulos, Bronis R. de Supinski

Energy efficiency is an essential requirement for all contemporary computing systems. We thus need tools to measure the energy consumption of computing systems and to understand ho…