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Minkyu Kim
Minkyu Kim
Qualcomm Technology Inc.
E-mail confirmado em asu.edu
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Ano
A 1.06- W Smart ECG Processor in 65-nm CMOS for Real-Time Biometric Authentication and Personal Cardiac Monitoring
S Yin, M Kim, D Kadetotad, Y Liu, C Bae, SJ Kim, Y Cao, J Seo
IEEE Journal of Solid-State Circuits 54 (8), 2316-2326, 2019
552019
End-to-end scalable FPGA accelerator for deep residual networks
Y Ma, M Kim, Y Cao, S Vrudhula, J Seo
2017 IEEE International Symposium on Circuits and Systems (ISCAS), 1-4, 2017
542017
Vesti: Energy-efficient in-memory computing accelerator for deep neural networks
S Yin, Z Jiang, M Kim, T Gupta, M Seok, JS Seo
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 28 (1), 48-61, 2019
292019
On-chip sparse learning acceleration with CMOS and resistive synaptic devices
J Seo, B Lin, M Kim, PY Chen, D Kadetotad, Z Xu, A Mohanty, S Vrudhula, ...
IEEE Transactions on Nanotechnology 14 (6), 969-979, 2015
242015
Liquid crystal display device and method of driving the same
MK Kim, YH Kim, SJ Koo
US Patent 9,646,550, 2017
172017
Liquid crystal display device capable of improving charging rate to pixels
MK Kim
US Patent 8,743,107, 2014
132014
High-performance face detection with CPU-FPGA acceleration
A Mohanty, N Suda, M Kim, S Vrudhula, J Seo, Y Cao
2016 IEEE International Symposium on Circuits and Systems (ISCAS), 117-120, 2016
122016
Liquid crystal display and method for initializing field programmable gate array
T Lee, M Kim
US Patent 8,441,506, 2013
102013
Backlight driver of liquid crystal display device and method of driving the same
MK Kim
US Patent 9,218,772, 2015
92015
Inference engine benchmarking across technological platforms from CMOS to RRAM
X Peng, M Kim, X Sun, S Yin, T Rakshit, RM Hatcher, JA Kittl, J Seo, S Yu
Proceedings of the International Symposium on Memory Systems, 471-479, 2019
72019
A real-time 17-scale object detection accelerator with adaptive 2000-stage classification in 65 nm CMOS
M Kim, A Mohanty, D Kadetotad, L Wei, X He, Y Cao, JS Seo
IEEE Transactions on Circuits and Systems I: Regular Papers 66 (10), 3843-3853, 2019
72019
Deep convolutional neural network accelerator featuring conditional computing and low external memory access
M Kim, JS Seo
2020 IEEE Custom Integrated Circuits Conference (CICC), 1-4, 2020
52020
Comprehensive evaluation of openCL-based convolutional neural network accelerators in Xilinx and Altera FPGAs
R Tapiador, A Rios-Navarro, A Linares-Barranco, M Kim, D Kadetotad, ...
arXiv preprint arXiv:1609.09296, 2016
52016
Pimca: A 3.4-mb programmable in-memory computing accelerator in 28nm for on-chip dnn inference
S Yin, B Zhang, M Kim, J Saikia, S Kwon, S Myung, H Kim, SJ Kim, ...
2021 Symposium on VLSI Technology, 1-2, 2021
42021
Cascaded computing for convolutional neural networks
J Seo, M Kim
US Patent App. 16/335,775, 2019
42019
Liquid crystal display device and method of driving the same
MK Kim
US Patent 8,378,941, 2013
42013
An energy-efficient deep convolutional neural network accelerator featuring conditional computing and low external memory access
M Kim, JS Seo
IEEE Journal of Solid-State Circuits 56 (3), 803-813, 2020
32020
Energy-efficient reconstruction of compressively sensed bioelectrical signals with stochastic computing circuits
Y Ma, M Kim, Y Cao, JS Seo, S Vrudhula
2015 33rd IEEE International Conference on Computer Design (ICCD), 443-446, 2015
32015
Comprehensive Evaluation of OpenCL-Based CNN Implementations for FPGAs
R Tapiador-Morales, A Rios-Navarro, A Linares-Barranco, M Kim, ...
International Work-Conference on Artificial Neural Networks, 271-282, 2017
12017
A Method of Reducing EMI in LCD Timing Controller using Efficient Data Compression and Data Transition
M Kim
The 8th IMID / IDMC / ASIA DISPLAY, pp. 1499-1502, 2008
12008
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