Dong Eun Kim

Orcid: 0000-0001-7251-1289

According to our database1, Dong Eun Kim authored at least 10 papers between 2020 and 2025.

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

Timeline

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Bibliography

2025
WAGONN: Weight Bit Agglomeration in Crossbar Arrays for Reduced Impact of Interconnect Resistance on DNN Inference Accuracy.
IEEE Trans. Circuits Syst. I Regul. Pap., September, 2025

TAXI: Traveling Salesman Problem Accelerator with X-bar-based Ising Macros Powered by SOT-MRAMs and Hierarchical Clustering.
CoRR, April, 2025

Hardware-Software Co-Design for Accelerating Transformer Inference Leveraging Compute-in-Memory.
CoRR, February, 2025

2024
SWANN: Shuffling Weights in Crossbar Arrays for Enhanced DNN Accuracy in Deeply Scaled Technologies.
CoRR, 2024

2023
SAMBA: Sparsity Aware In-Memory Computing Based Machine Learning Accelerator.
IEEE Trans. Computers, September, 2023

A 65 nm 1.4-6.7 TOPS/W Adaptive-SNR Sparsity-Aware CIM Core with Load Balancing Support for DL workloads.
Proceedings of the IEEE Custom Integrated Circuits Conference, 2023

2021
Mixed Precision Quantization for ReRAM-based DNN Inference Accelerators.
Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

2020
Erratum to "CASH-RAM: Enabling In-Memory Computations for Edge Inference Using Charge Accumulation and Sharing in Standard 8T-SRAM Arrays".
IEEE J. Emerg. Sel. Topics Circuits Syst., 2020

CASH-RAM: Enabling In-Memory Computations for Edge Inference Using Charge Accumulation and Sharing in Standard 8T-SRAM Arrays.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2020

GENIEx: A Generalized Approach to Emulating Non-Ideality in Memristive Xbars using Neural Networks.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020


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