SpikeSim: An end-to-end Compute-in-Memory Hardware Evaluation Tool for Benchmarking Spiking Neural Networks

24 October 2022

Papers citing "SpikeSim: An end-to-end Compute-in-Memory Hardware Evaluation Tool for Benchmarking Spiking Neural Networks"

5 / 5 papers shown

Title
When In-memory Computing Meets Spiking Neural Networks -- A Perspective on Device-Circuit-System-and-Algorithm Co-design Abhishek Moitra Abhiroop Bhattacharjee Yuhang Li Youngeun Kim Priyadarshini Panda 30 1 0 22 Aug 2024
TReX- Reusing Vision Transformer's Attention for Efficient Xbar-based Computing Abhishek Moitra Abhiroop Bhattacharjee Youngeun Kim Priyadarshini Panda ViT 32 2 0 22 Aug 2024
SpikingNeRF: Making Bio-inspired Neural Networks See through the Real World Xing-Hua Yao Qinghao Hu Tielong Liu Zitao Mo Zeyu Zhu Zhengyang Zhuge Jia Cheng 28 3 0 20 Sep 2023
Are SNNs Truly Energy-efficient? $-$ A Hardware Perspective Abhiroop Bhattacharjee Ruokai Yin Abhishek Moitra Priyadarshini Panda 19 8 0 06 Sep 2023
XploreNAS: Explore Adversarially Robust & Hardware-efficient Neural Architectures for Non-ideal Xbars Abhiroop Bhattacharjee Abhishek Moitra Priyadarshini Panda AAML 20 1 0 15 Feb 2023