research
∙
09/04/2023
Collective Communication Patterns Using Time-Reversal Terahertz Links at the Chip Scale
Wireless communications in the terahertz band have been recently propose...
share
research
∙
08/21/2023
Topological Graph Signal Compression
Recently emerged Topological Deep Learning (TDL) methods aim to extend c...
research
∙
07/19/2023
Exploration of Time Reversal for Wireless Communications within Computing Packages
Wireless Network-on-Chip (WNoC) is a promising paradigm to overcome the ...
research
∙
03/14/2023
Toward Standardized Performance Evaluation of Flow-guided Nanoscale Localization
Nanoscale devices featuring Terahertz (THz)-based wireless communication...
research
∙
02/04/2023
WHYPE: A Scale-Out Architecture with Wireless Over-the-Air Majority for Scalable In-memory Hyperdimensional Computing
Hyperdimensional computing (HDC) is an emerging computing paradigm that ...
research
∙
09/15/2022
Towards Spatial Multiplexing in Wireless Networks within Computing Packages
Wireless Networks-on-Chip (WNoCs) are regarded as a disruptive alternati...
research
∙
08/31/2022
Characterizing Qubit Traffic of a Quantum Intranet aiming at Modular Quantum Computers
Quantum many-core processors are envisioned as the ultimate solution for...
research
∙
06/03/2022
Scale up your In-Memory Accelerator: Leveraging Wireless-on-Chip Communication for AIMC-based CNN Inference
Analog In-Memory Computing (AIMC) is emerging as a disruptive paradigm f...
research
∙
05/22/2022
Wireless On-Chip Communications for Scalable In-memory Hyperdimensional Computing
Hyperdimensional computing (HDC) is an emerging computing paradigm that ...
research
∙
08/18/2021
Toward Autonomous Reconfigurable Intelligent Surfaces Through Wireless Energy Harvesting
In this work, we examine the potential of autonomous operation of a reco...
research
∙
03/18/2021
Characterizing the Communication Requirements of GNN Accelerators: A Model-Based Approach
Relational data present in real world graph representations demands for ...
research
∙
03/14/2021
A Taxonomy for Classification and Comparison of Dataflows for GNN Accelerators
Recently, Graph Neural Networks (GNNs) have received a lot of interest b...
research
∙
01/06/2021
Toward Location-aware In-body Terahertz Nanonetworks with Energy Harvesting
Nanoscale wireless networks are expected to revolutionize a variety of d...
research
∙
11/30/2020
Dataflow-Architecture Co-Design for 2.5D DNN Accelerators using Wireless Network-on-Package
Deep neural network (DNN) models continue to grow in size and complexity...
research
∙
11/10/2020
Workload Characterization of Programmable Metasurfaces
Metasurfaces are envisaged to play a key role in next-generation wireles...
research
∙
10/30/2020
Localization in Terahertz-Operating Energy Harvesting Software-Defined Metamaterials
Software-Defined Metamaterials (SDMs) show a strong potential for advanc...
research
∙
09/30/2020
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators
Graph Neural Networks (GNNs) have exploded onto the machine learning sce...
research
∙
07/15/2020
Radiation pattern prediction for Metasurfaces: A Neural Network based approach
As the current standardization for the 5G networks nears completion, wor...
research
∙
12/03/2019
Understanding the Impact of On-chip Communication on DNN Accelerator Performance
Deep Neural Networks have flourished at an unprecedented pace in recent ...
research
∙
09/12/2019
Survey on Terahertz Nanocommunication and Networking: A Top-Down Perspective
Recent developments in nanotechnology herald nanometer-sized devices exp...
research
∙
06/12/2019
Data Conversion in Area-Constrained Applications: the Wireless Network-on-Chip Case
Network-on-Chip (NoC) is currently the paradigm of choice to interconnec...
research
∙
12/23/2018
Engineer the Channel and Adapt to it: Enabling Wireless Intra-Chip Communication
Ubiquitous multicore processors nowadays rely on an integrated packet-sw...
research
∙
10/25/2018
A General, Fault tolerant, Adaptive, Deadlock-free Routing Protocol for Network-on-chip
The paper presents a topology-agnostic greedy protocol for network-on-ch...
research
∙
07/23/2018
Understanding the Modeling of Computer Network Delays using Neural Networks
Recent trends in networking are proposing the use of Machine Learning (M...
research
∙
06/16/2018
