NEBULA: A Neuromorphic Spin-Based Ultra-Low Power Architecture for SNNs and ANNs-Reference-Cited by-同舟云学术

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NEBULA: A Neuromorphic Spin-Based Ultra-Low Power Architecture for SNNs and ANNs

Published:2020-05 Issue: Volume: Page:
ISSN:
Container-title:2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture (ISCA)
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Author:

Singh Sonali,Sarma Anup,Jao Nicholas,Pattnaik Ashutosh,Lu Sen,Yang Kezhou,Sengupta Abhronil,Narayanan Vijaykrishnan,Das Chita R.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9136582/9138908/09138925.pdf?arnumber=9138925

Cited by 27 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Impact of Non-Volatile Memory Cells on Spiking Neural Network Annealing Machine With In-Situ Synapse Processing;IEEE Transactions on Circuits and Systems I: Regular Papers;2023-11

2. Stash: A Comprehensive Stall-Centric Characterization of Public Cloud VMs for Distributed Deep Learning;2023 IEEE 43rd International Conference on Distributed Computing Systems (ICDCS);2023-07

3. Federated Learning with Spiking Neural Networks in Heterogeneous Systems;2023 IEEE Computer Society Annual Symposium on VLSI (ISVLSI);2023-06-20

4. Constructing Deep Spiking Neural Networks from Artificial Neural Networks with Knowledge Distillation;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

5. SIMSnn: A Weight-Agnostic ReRAM-based Search-In-Memory Engine for SNN Acceleration;2023 Design, Automation & Test in Europe Conference & Exhibition (DATE);2023-04

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