A 701.7 TOPS/W Time-Domain Spiking Neural Network Compute-in-Memory Processor with 9T1C Bitcell
Author:
Affiliation:
1. Graduate School of Artificial Intelligence, Ulsan National Institute of Science and Technology (UNIST),Department of Electrical Engineering,Ulsan,Republic of Korea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10405424/10405847/10406108.pdf?arnumber=10406108
Reference14 articles.
1. DIET-SNN: A Low-Latency Spiking Neural Network With Direct Input Encoding and Leakage and Threshold Optimization
2. 7.6 A 65nm 236.5nJ/Classification Neuromorphic Processor with 7.5% Energy Overhead On-Chip Learning Using Direct Spike-Only Feedback
3. A 4096-Neuron 1M-Synapse 3.8-pJ/SOP Spiking Neural Network With On-Chip STDP Learning and Sparse Weights in 10-nm FinFET CMOS
4. 1.1 Computing's energy problem (and what we can do about it)
5. A 28 nm 16 Kb Bit-Scalable Charge-Domain Transpose 6T SRAM In-Memory Computing Macro
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