Dong Eun Kim

13 papers A* 2A 1Journal 8Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Hardware-Software Co-Design for Accelerating Transformer Inference Leveraging Compute-in-Memory.
CoRR
Dong Eun Kim, Tanvi Sharma, Kaushik Roy
2025 A conf
MemRaptor: Magnetoresistive Array as Matrix Vector Multiplication and Transcendental Function Operator for NLP Applications.
ISLPED
Dong Eun Kim, Tanvi Sharma, Anushka Mukherjee, Mainakh Mukherjee, Kaushik Roy
2025 A* conf
TAXI: Traveling Salesman Problem Accelerator with X-bar-based Ising Macros Powered by SOT-MRAMs and Hierarchical Clustering.
DAC
Sangmin Yoo, Amod Holla, Sourav Sanyal, Dong Eun Kim, Francesca Iacopi, Dwaipayan Biswas, James Myers, Kaushik Roy
2025 J jnl
TAXI: Traveling Salesman Problem Accelerator with X-bar-based Ising Macros Powered by SOT-MRAMs and Hierarchical Clustering.
CoRR
Sangmin Yoo, Amod Holla, Sourav Sanyal, Dong Eun Kim, Francesca Iacopi, Dwaipayan Biswas, James Myers, Kaushik Roy
2025 J jnl
WAGONN: Weight Bit Agglomeration in Crossbar Arrays for Reduced Impact of Interconnect Resistance on DNN Inference Accuracy.
IEEE Trans. Circuits Syst. I Regul. Pap.
Jeffry Victor, Dong Eun Kim, Chunguang Wang, Kaushik Roy, Sumeet Kumar Gupta
2024 J jnl
SWANN: Shuffling Weights in Crossbar Arrays for Enhanced DNN Accuracy in Deeply Scaled Technologies.
CoRR
Jeffry Victor, Dong Eun Kim, Chunguang Wang, Kaushik Roy, Sumeet Gupta
2023 — conf
A 65 nm 1.4-6.7 TOPS/W Adaptive-SNR Sparsity-Aware CIM Core with Load Balancing Support for DL workloads.
CICC
Mustafa Fayez Ali, Indranil Chakraborty, Sakshi Choudhary, Muya Chang, Dong Eun Kim, Arijit Raychowdhury, Kaushik Roy
2023 J jnl
SAMBA: Sparsity Aware In-Memory Computing Based Machine Learning Accelerator.
IEEE Trans. Computers
Dong Eun Kim, Aayush Ankit, Cheng Wang, Kaushik Roy
2021 — conf
Mixed Precision Quantization for ReRAM-based DNN Inference Accelerators.
ASP-DAC
Sitao Huang, Aayush Ankit, Plínio Silveira, Rodrigo Antunes, Sai Rahul Chalamalasetti, Izzat El Hajj, Dong Eun Kim, Glaucimar Aguiar, Pedro Bruel, Sergey Serebryakov, Cong Xu, Can Li, Paolo Faraboschi, John Paul Strachan, Deming Chen, Kaushik Roy, Wen-mei W. Hwu, Dejan S. Milojicic
2020 J jnl
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.
Amogh Agrawal, Adarsh Kosta, Sangamesh Kodge, Dong Eun Kim, Kaushik Roy
2020 J jnl
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.
Amogh Agrawal, Adarsh Kosta, Sangamesh Kodge, Dong Eun Kim, Kaushik Roy
2020 A* conf
GENIEx: A Generalized Approach to Emulating Non-Ideality in Memristive Xbars using Neural Networks.
DAC
Indranil Chakraborty, Mustafa Fayez Ali, Dong Eun Kim, Aayush Ankit, Kaushik Roy
2020 J jnl
GENIEx: A Generalized Approach to Emulating Non-Ideality in Memristive Xbars using Neural Networks.
CoRR
Indranil Chakraborty, Mustafa Fayez Ali, Dong Eun Kim, Aayush Ankit, Kaushik Roy