Sungmin Lim
Citée par
Citée par
An in-memory VLSI architecture for convolutional neural networks
M Kang, S Lim, S Gonugondla, NR Shanbhag
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 8 (3 …, 2018
PROMISE: An end-to-end design of a programmable mixed-signal accelerator for machine-learning algorithms
P Srivastava, M Kang, SK Gonugondla, S Lim, J Choi, V Adve, NS Kim, ...
2018 ACM/IEEE 45th Annual International Symposium on Computer Architecture …, 2018
A 19.4-nJ/decision, 364-K decisions/s, in-memory random forest multi-class inference accelerator
M Kang, SK Gonugondla, S Lim, NR Shanbhag
IEEE Journal of Solid-State Circuits 53 (7), 2126-2135, 2018
A hierarchical adaptively boosted in-memory classifier in 6T SRAM
S Lim
A 2.048 Mb/s Full-Duplex Free-Space Optical Transceiver IC for a Real-Time In Vivo Brain–Computer Interface Mouse Experiment Under Social Interaction
G Hwang, JK Choi, J Yang, S Lim, JM Kim, MG Choi, K Gwak, J Jeon, ...
IEEE Journal of Solid-State Circuits 52 (4), 1007-1020, 2017
A 2.048 Mb/s full-duplex free-space optical transceiver IC for a real-time in vivo neurofeedback mouse experiment under social interaction
G Hwang, JK Choi, J Yang, S Lim, JM Kim, MG Choi, DS Kim, K Gwak, ...
2016 IEEE Symposium on VLSI Circuits (VLSI-Circuits), 1-2, 2016
A waveform-controlled energy-recycling monophasic Repetitive Transcranial Magnetic Stimulation Device
J Cha, S Lim, HM Bae
2015 IEEE Biomedical Circuits and Systems Conference (BioCAS), pp. 1-4, 2015
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