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Computing Graph Neural Networks: A Survey from Algorithms to Accelerators
Graph Neural Networks (GNNs) have exploded onto the machine learning sce...
09/30/2020 ∙ by Sergi Abadal, et al. ∙
103
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Radiation pattern prediction for Metasurfaces: A Neural Network based approach
As the current standardization for the 5G networks nears completion, wor...
07/15/2020 ∙ by Hamidreza Taghvaee, et al. ∙
7
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Understanding the Impact of On-chip Communication on DNN Accelerator Performance
Deep Neural Networks have flourished at an unprecedented pace in recent ...
12/03/2019 ∙ by Robert Guirado, et al. ∙
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Survey on Terahertz Nanocommunication and Networking: A Top-Down Perspective
Recent developments in nanotechnology herald nanometer-sized devices exp...
09/12/2019 ∙ by Filip Lemic, et al. ∙
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Data Conversion in Area-Constrained Applications: the Wireless Network-on-Chip Case
Network-on-Chip (NoC) is currently the paradigm of choice to interconnec...
06/12/2019 ∙ by Sergi Abadal, et al. ∙
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Engineer the Channel and Adapt to it: Enabling Wireless Intra-Chip Communication
Ubiquitous multicore processors nowadays rely on an integrated packet-sw...
12/23/2018 ∙ by Xavier Timoneda, et al. ∙
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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...
10/25/2018 ∙ by Pieter Stroobant, et al. ∙
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Medium Access Control in Wireless Network-on-Chip: A Context Analysis
Wireless on-chip communication is a promising candidate to address the p...
06/16/2018 ∙ by Sergi Abadal, et al. ∙
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