Minkyu Kim
Orcid: 0000-0001-7084-9163Affiliations:
- Arizona State University, School of Electrical, Computer and Energy Engineering, Tempe, USA
According to our database1,
Minkyu Kim
authored at least 16 papers
between 2015 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
PIMCA: A Programmable In-Memory Computing Accelerator for Energy-Efficient DNN Inference.
IEEE J. Solid State Circuits, May, 2023
2021
An Energy-Efficient Deep Convolutional Neural Network Accelerator Featuring Conditional Computing and Low External Memory Access.
IEEE J. Solid State Circuits, 2021
PIMCA: A 3.4-Mb Programmable In-Memory Computing Accelerator in 28nm for On-Chip DNN Inference.
Proceedings of the 2021 Symposium on VLSI Circuits, Kyoto, Japan, June 13-19, 2021, 2021
2020
IEEE Trans. Very Large Scale Integr. Syst., 2020
Deep Convolutional Neural Network Accelerator Featuring Conditional Computing and Low External Memory Access.
Proceedings of the 2020 IEEE Custom Integrated Circuits Conference, 2020
2019
PhD thesis, 2019
A Real-Time 17-Scale Object Detection Accelerator With Adaptive 2000-Stage Classification in 65 nm CMOS.
IEEE Trans. Circuits Syst. I Regul. Pap., 2019
A 1.06- $\mu$ W Smart ECG Processor in 65-nm CMOS for Real-Time Biometric Authentication and Personal Cardiac Monitoring.
IEEE J. Solid State Circuits, 2019
Proceedings of the International Symposium on Memory Systems, 2019
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019
2017
Proceedings of the Advances in Computational Intelligence, 2017
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017
A real-time 17-scale object detection accelerator with adaptive 2000-stage classification in 65nm CMOS.
Proceedings of the 22nd Asia and South Pacific Design Automation Conference, 2017
2016
Comprehensive Evaluation of OpenCL-based Convolutional Neural Network Accelerators in Xilinx and Altera FPGAs.
CoRR, 2016
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016
2015
Energy-efficient reconstruction of compressively sensed bioelectrical signals with stochastic computing circuits.
Proceedings of the 33rd IEEE International Conference on Computer Design, 2015