63 citations · 113 across the 6 of their papers we have counts for
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cs.NE2022★ 2 cited
SpikeSim: An end-to-end Compute-in-Memory Hardware Evaluation Tool for Benchmarking Spiking Neural Networks
Abhishek Moitra, Abhiroop Bhattacharjee, Runcong Kuang +3
SNNs are an active research domain towards energy efficient machine intelligence. Compared to conventional ANNs, SNNs use temporal spike data and bio-plausible neuronal activation…
cs.AR2022★ 16 cited
COIN: Communication-Aware In-Memory Acceleration for Graph Convolutional Networks
Sumit K. Mandal, Gokul Krishnan, A. Alper Goksoy +3
Graph convolutional networks (GCNs) have shown remarkable learning capabilities when processing graph-structured data found inherently in many application areas. GCNs distribute th…