Minkyu Kim

17 papers C 4Misc 1Journal 6Unranked 5
YearRankTypeTitle / Venue / Authors
2023 J jnl
PIMCA: A Programmable In-Memory Computing Accelerator for Energy-Efficient DNN Inference.
IEEE J. Solid State Circuits
Bo Zhang, Shihui Yin, Minkyu Kim, Jyotishman Saikia, Soonwan Kwon, Sungmeen Myung, Hyunsoo Kim, Sang Joon Kim, Jae-sun Seo, Mingoo Seok
2021 J jnl
An Energy-Efficient Deep Convolutional Neural Network Accelerator Featuring Conditional Computing and Low External Memory Access.
IEEE J. Solid State Circuits
Minkyu Kim, Jae-sun Seo
2021 — conf
PIMCA: A 3.4-Mb Programmable In-Memory Computing Accelerator in 28nm for On-Chip DNN Inference.
VLSI Circuits
Shihui Yin, Bo Zhang, Minkyu Kim, Jyotishman Saikia, Soonwan Kwon, Sungmeen Myung, Hyunsoo Kim, Sang Joon Kim, Mingoo Seok, Jae-sun Seo
2020 — conf
Deep Convolutional Neural Network Accelerator Featuring Conditional Computing and Low External Memory Access.
CICC
Minkyu Kim, Jae-sun Seo
2020 J jnl
Vesti: Energy-Efficient In-Memory Computing Accelerator for Deep Neural Networks.
IEEE Trans. Very Large Scale Integr. Syst.
Shihui Yin, Zhewei Jiang, Minkyu Kim, Tushar Gupta, Mingoo Seok, Jae-sun Seo
2019 J jnl
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
Shihui Yin, Minkyu Kim, Deepak Kadetotad, Yang Liu, ChiSung Bae, Sang Joon Kim, Yu Cao, Jae-sun Seo
2019 J jnl
A Real-Time 17-Scale Object Detection Accelerator With Adaptive 2000-Stage Classification in 65 nm CMOS.
IEEE Trans. Circuits Syst. I Regul. Pap.
Minkyu Kim, Abinash Mohanty, Deepak Kadetotad, Luning Wei, Xiaofei He, Yu Cao, Jae-sun Seo
2019 — —
Energy-Efficient ASIC Accelerators for Machine/Deep Learning Algorithms.
Minkyu Kim
2019 — conf
Inference engine benchmarking across technological platforms from CMOS to RRAM.
MEMSYS
Xiaochen Peng, Minkyu Kim, Xiaoyu Sun, Shihui Yin, Titash Rakshit, Ryan M. Hatcher, Jorge A. Kittl, Jae-sun Seo, Shimeng Yu
2019 Misc conf
Vesti: An In-Memory Computing Processor for Deep Neural Networks Acceleration.
ACSSC
Zhewei Jiang, Shihui Yin, Minkyu Kim, Tushar Gupta, Mingoo Seok, Jae-sun Seo
2017 — conf
A real-time 17-scale object detection accelerator with adaptive 2000-stage classification in 65nm CMOS.
ASP-DAC
Minkyu Kim, Abinash Mohanty, Deepak Kadetotad, Naveen Suda, Luning Wei, Pooja Saseendran, Xiaofei He, Yu Cao, Jae-sun Seo
2017 C conf
A real-time 17-scale object detection accelerator with adaptive 2000-stage classification in 65nm CMOS.
ISCAS
Minkyu Kim, Abinash Mohanty, Deepak Kadetotad, Naveen Suda, Luning Wei, Pooja Saseendran, Xiaofei He, Yu Cao, Jae-sun Seo
2017 — conf
Comprehensive Evaluation of OpenCL-Based CNN Implementations for FPGAs.
IWANN (2)
Ricardo Tapiador-Morales, Antonio Rios-Navarro, Alejandro Linares-Barranco, Minkyu Kim, Deepak Kadetotad, Jae-sun Seo
2017 C conf
End-to-end scalable FPGA accelerator for deep residual networks.
ISCAS
Yufei Ma, Minkyu Kim, Yu Cao, Sarma B. K. Vrudhula, Jae-sun Seo
2016 J jnl
Comprehensive Evaluation of OpenCL-based Convolutional Neural Network Accelerators in Xilinx and Altera FPGAs.
CoRR
Ricardo Tapiador, Antonio Rios-Navarro, Alejandro Linares-Barranco, Minkyu Kim, Deepak Kadetotad, Jae-sun Seo
2016 C conf
High-performance face detection with CPU-FPGA acceleration.
ISCAS
Abinash Mohanty, Naveen Suda, Minkyu Kim, Sarma B. K. Vrudhula, Jae-sun Seo, Yu Cao
2015 C conf
Energy-efficient reconstruction of compressively sensed bioelectrical signals with stochastic computing circuits.
ICCD
Yufei Ma, Minkyu Kim, Yu Cao, Jae-sun Seo, Sarma B. K. Vrudhula