2 citations · 2 across the 4 of their papers we have counts for
6 papers
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…
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…
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…
Dependency-Aware Rollback and Checkpoint-Restart for Distributed Task-Based Runtimes
Kiril Dichev, Herbert Jordan, Konstantinos Tovletoglou +4
With the increase in compute nodes in large compute platforms, a proportional increase in node failures will follow. Many application-based checkpoint/restart (C/R) techniques have…
Energy Optimization of Memory Intensive Parallel workloads
Chhaya Trehan, Hans Vandierendonck, Georgios Karakonstantis +1
Energy consumption is an important concern in modern multicore processors. The energy consumed during the execution of an application can be minimized by tuning the hardware state…
Cross-layer Energy-Efficiency Optimization of Packet Based Wireless MIMO Communication Systems
Christian Senning, Georgios Karakonstantis, Andreas Burg
Energy in today's short-range wireless communication is mostly spent on the analog- and digital hardware rather than on radiated power. Hence, purely information-theoretic consider…