5 papers
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…
Understood in Translation, Transformers for Domain Understanding
Dimitrios Christofidellis, Matteo Manica, Leonidas Georgopoulos +1
Knowledge acquisition is the essential first step of any Knowledge Graph (KG) application. This knowledge can be extracted from a given corpus (KG generation process) or specified…
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…
VEBO: A Vertex- and Edge-Balanced Ordering Heuristic to Load Balance Parallel Graph Processing
Jiawen Sun, Hans Vandierendonck, Dimitrios S. Nikolopoulos
Graph partitioning drives graph processing in distributed, disk-based and NUMA-aware systems. A commonly used partitioning goal is to balance the number of edges per partition in c…
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…