Dahoon Park

According to our database, Dahoon Park authored at least 11 papers between 2021 and 2026.

Collaborative distances:

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

2026

A Hybrid Digital-Analog Compute-in-Memory Using Content-Addressable Memory With Flexible Multi-Bit Slicing.

Sangwoo Jung, Hojin Lee, Jiyong Park, Yejin Lee, Dahoon Park, Hyunseob Shin, Jong-Hyeok Yoon, Jaeha Kung

IEEE Trans. Circuits Syst. I Regul. Pap., May, 2026

A Survey on Binary and Ternary Neural Networks and Their Realization in Compute-in-Memory for Edge Intelligence.

Dahoon Park, Hyungdong Park, Inguk Yeo, Jiyun Kim, Sunghyun Lee, Suhak Lee, Hyunseob Shin, Sung-il Pae, Deliang Fan, Jaeha Kung, Kon-Woo Kwon

IEEE Internet Things J., 2026

2025

RIMIX: RISC-V Core with MIXed-Precision SIMD Instruction Extensions Supported by Oracle-Assisted Sub-Network Search for Efficient TinyML.

Jiyong Park, Dahoon Park, Yeeun Hong, Jaeha Kung

Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2025

CAM-CIM: A Hybrid Compute-in-Memory Using Content-Addressable Memory with Subword Split Mapping for Reduced ADC Resolution.

Sangwoo Jung, Hojin Lee, Yejin Lee, Jiyong Park, Dahoon Park, Hyunseob Shin, Jong-Hyeok Yoon, Jaeha Kung

Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2025

RISC-V Driven Orchestration of Vector Processing Units and eFlash Compute-in-Memory Arrays for Fast and Accurate Keyword Spotting.

Gunil Kang, Dahoon Park, Hojin Lee, Sangwoo Jung, Jiyong Park, Jung Gyu Min, Youngjoo Lee, Jaeha Kung

Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025

2024

A Dual-Precision and Low-Power CNN Inference Engine Using a Heterogeneous Processing-in-Memory Architecture.

Sangwoo Jung, Jaehyun Lee, Dahoon Park, Youngjoo Lee, Jong-Hyeok Yoon, Jaeha Kung

IEEE Trans. Circuits Syst. I Regul. Pap., December, 2024

SpikedAttention: Training-Free and Fully Spike-Driven Transformer-to-SNN Conversion with Winner-Oriented Spike Shift for Softmax Operation.

Sangwoo Hwang, Seunghyun Lee, Dahoon Park, Donghun Lee, Jaeha Kung

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

OPAL: Outlier-Preserved Microscaling Quantization Accelerator for Generative Large Language Models.

Jahyun Koo, Dahoon Park, Sangwoo Jung, Jaeha Kung

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

A 65nm 687.5-TOPS/W Drive Strength-based SRAM Compute-In-Memory Macro with Adaptive Dynamic Range for Edge AI applications.

Dong-gu Choi, Jaehyun Lee, Jahyun Koo, Woo Kyoung Han, Dahoon Park, Jaeha Kung, Junghyup Lee, Jong-Hyeok Yoon

Proceedings of the IEEE Asian Solid-State Circuits Conference, 2024

2022

LightNorm: Area and Energy-Efficient Batch Normalization Hardware for On-Device DNN Training.

Seock-Hwan Noh, Junsang Park, Dahoon Park, Jahyun Koo, Jeik Choi, Jaeha Kung

Proceedings of the IEEE 40th International Conference on Computer Design, 2022

2021

ZeBRA: Precisely Destroying Neural Networks with Zero-Data Based Repeated Bit Flip Attack.

Dahoon Park, Kon-Woo Kwon, Sunghoon Im, Jaeha Kung

Proceedings of the 32nd British Machine Vision Conference 2021, 2021