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 | 74 | 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 | 59 | 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 | 48 | 2018 |
A hierarchical adaptively boosted in-memory classifier in 6T SRAM S Lim | | 2019 |
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 | | 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 | | 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 | | 2015 |