7 citations · 8 across the 6 of their papers we have counts for
8 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…
Understanding the Impact of On-chip Communication on DNN Accelerator Performance
Robert Guirado, Hyoukjun Kwon, Eduard Alarcón +2
Deep Neural Networks have flourished at an unprecedented pace in recent years. They have achieved outstanding accuracy in fields such as computer vision, natural language processin…
Use of THz Photoconductive Sources to Characterize Tunable Graphene RF Plasmonic Antennas
Albert Cabellos, Ignacio Llátser, Eduard Alarcón +2
Graphene, owing to its ability to support plasmon polariton waves in the terahertz frequency range, enables the miniaturization of antennas to allow wireless communications among n…