Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Park, Jongkil | - |
dc.contributor.author | Jeong, YeonJoo | - |
dc.contributor.author | Kim, Jaewook | - |
dc.contributor.author | Lee, Suyoun | - |
dc.contributor.author | Kwak, Joon Young | - |
dc.contributor.author | Park, Jong-Keuk | - |
dc.contributor.author | Kim, Inho | - |
dc.date.accessioned | 2024-09-19T00:00:28Z | - |
dc.date.available | 2024-09-19T00:00:28Z | - |
dc.date.created | 2024-09-14 | - |
dc.date.issued | 2024-04 | - |
dc.identifier.issn | 2834-9830 | - |
dc.identifier.uri | https://pubs.kist.re.kr/handle/201004/150606 | - |
dc.description.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). | - |
dc.language | English | - |
dc.publisher | IEEE | - |
dc.title | High-Density Digital Neuromorphic Processor with High-Precision Neural and Synaptic Dynamics and Temporal Acceleration | - |
dc.type | Conference | - |
dc.identifier.doi | 10.1109/AICAS59952.2024.10595869 | - |
dc.description.journalClass | 1 | - |
dc.identifier.bibliographicCitation | 6th International Conference on AI Circuits and Systems (AICAS), pp.322 - 326 | - |
dc.citation.title | 6th International Conference on AI Circuits and Systems (AICAS) | - |
dc.citation.startPage | 322 | - |
dc.citation.endPage | 326 | - |
dc.citation.conferencePlace | US | - |
dc.citation.conferencePlace | Abu Dhabi, U ARAB EMIRATES | - |
dc.citation.conferenceDate | 2024-04-22 | - |
dc.relation.isPartOf | 2024 IEEE 6TH INTERNATIONAL CONFERENCE ON AI CIRCUITS AND SYSTEMS, AICAS 2024 | - |
dc.identifier.wosid | 001280469200017 | - |
dc.identifier.scopusid | 2-s2.0-85199873783 | - |
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