Minkyu Kim

Affiliations:
  • Arizona State University, School of Electrical, Computer and Energy Engineering, Tempe, USA


According to our database1, Minkyu Kim authored at least 10 papers between 2015 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

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
Deep Convolutional Neural Network Accelerator Featuring Conditional Computing and Low External Memory Access.
Proceedings of the 2020 IEEE Custom Integrated Circuits Conference, 2020

2019
Energy-Efficient ASIC Accelerators for Machine/Deep Learning Algorithms.
PhD thesis, 2019

Inference engine benchmarking across technological platforms from CMOS to RRAM.
Proceedings of the International Symposium on Memory Systems, 2019

Vesti: An In-Memory Computing Processor for Deep Neural Networks Acceleration.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2017
Comprehensive Evaluation of OpenCL-Based CNN Implementations for FPGAs.
Proceedings of the Advances in Computational Intelligence, 2017

End-to-end scalable FPGA accelerator for deep residual networks.
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
High-performance face detection with CPU-FPGA acceleration.
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


  Loading...