Daehyun Kim

According to our database, Daehyun Kim authored at least 8 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Processing in memory architecture for neural networks and on-chip learning acceleration.

Daehyun Kim

PhD thesis, 2023

2021

ScieNet: Deep learning with spike-assisted contextual information extraction.

Xueyuan She, Yun Long, Daehyun Kim, Saibal Mukhopadhyay

Pattern Recognit., 2021

Genetic Algorithm-Based Energy-Aware CNN Quantization for Processing-In-Memory Architecture.

Beomseok Kang, Anni Lu, Yun Long, Daehyun Kim, Shimeng Yu, Saibal Mukhopadhyay

IEEE J. Emerg. Sel. Topics Circuits Syst., 2021

2020

Advances in Design and Test of Monolithic 3-D ICs.

Arjun Chaudhuri, Sanmitra Banerjee, Heechun Park, Jinwoo Kim, Gauthaman Murali, Edward Lee, Daehyun Kim, Sung Kyu Lim, Saibal Mukhopadhyay, Krishnendu Chakrabarty

IEEE Des. Test, 2020

SAFE-DNN: A Deep Neural Network With Spike Assisted Feature Extraction For Noise Robust Inference.

Xueyuan She, Priyabrata Saha, Daehyun Kim, Yun Long, Saibal Mukhopadhyay

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Flex-PIM: A Ferroelectric FET based Vector Matrix Multiplication Engine with Dynamical Bitwidth and Floating Point Precision.

Yun Long, Edward Lee, Daehyun Kim, Saibal Mukhopadhyay

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Q-PIM: A Genetic Algorithm based Flexible DNN Quantization Method and Application to Processing-In-Memory Platform.

Yun Long, Edward Lee, Daehyun Kim, Saibal Mukhopadhyay

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

2019

RTL-to-GDS Tool Flow and Design-for-Test Solutions for Monolithic 3D ICs.

Heechun Park, Kyungwook Chang, Bon Woong Ku, Jinwoo Kim, Edward Lee, Daehyun Kim, Arjun Chaudhuri, Sanmitra Banerjee, Saibal Mukhopadhyay, Krishnendu Chakrabarty, Sung Kyu Lim

Proceedings of the 56th Annual Design Automation Conference 2019, 2019