7 papers
Characterizing the Communication Requirements of GNN Accelerators: A Model-Based Approach
Robert Guirado, Akshay Jain, Sergi Abadal +1
Relational data present in real world graph representations demands for tools capable to study it accurately. In this regard Graph Neural Network (GNN) is a powerful tool, wherein…
Toward Location-aware In-body Terahertz Nanonetworks with Energy Harvesting
Filip Lemic, Sergi Abadal, Aleksandar Stevanovic +2
Nanoscale wireless networks are expected to revolutionize a variety of domains, with significant advances conceivable in in-body healthcare. In healthcare, these nanonetworks will…
Dataflow-Architecture Co-Design for 2.5D DNN Accelerators using Wireless Network-on-Package
Robert Guirado, Hyoukjun Kwon, Sergi Abadal +2
Deep neural network (DNN) models continue to grow in size and complexity, demanding higher computational power to enable real-time inference. To efficiently deliver such computatio…
Localization in Power-Constrained Terahertz-Operating Software-Defined Metamaterials
Filip Lemic, Sergi Abadal, Chong Han +3
Software-Defined Metamaterials (SDMs) show a strong potential for advancing the engineered control of electromagnetic waves. As such, they are envisioned to enable a variety of exc…
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators
Sergi Abadal, Akshay Jain, Robert Guirado +2
Graph Neural Networks (GNNs) have exploded onto the machine learning scene in recent years owing to their capability to model and learn from graph-structured data. Such an ability…
Scalability Analysis of Programmable Metasurfaces for Beam Steering
Hamidreza Taghvaee, Sergi Abadal, Alexandros Pitilakis +7
Programmable metasurfaces have garnered significant attention as they confer unprecedented control over the electromagnetic response of any surface. Such feature has given rise to…