High-Density Digital Neuromorphic Processor with High-Precision Neural and Synaptic Dynamics and Temporal Acceleration

Authors
Park, JongkilJeong, YeonJooKim, JaewookLee, SuyounKwak, Joon YoungPark, Jong-KeukKim, Inho
Issue Date
2024-04
Publisher
IEEE
Citation
6th International Conference on AI Circuits and Systems (AICAS), pp.322 - 326
Abstract
This paper presents a large-scale digital neuromorphic processor for spiking neural network emulation. The processor is fabricated in a 28 nm CMOS and occupies a 9.00 mm(2) die area for 262,144 neurons. A time-embedded floating-point leaky integrate-and-fire neuron model is implemented to reduce the size of SRAM and the number of SRAM accesses. It achieves a high-density neuron integration (34.9 k neurons/mm(2)), which is 13 times higher than other state-of-the-art designs. Additionally, it achieves a high-dynamic range synapse (8-bit floating-point) and low energy consumption (28.26 pJ/synaptic operation).
ISSN
2834-9830
URI
https://pubs.kist.re.kr/handle/201004/150606
DOI
10.1109/AICAS59952.2024.10595869
Appears in Collections:
KIST Conference Paper > 2024
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