Seock-Hwan Noh

According to our database, Seock-Hwan Noh authored at least 8 papers between 2022 and 2025.

Collaborative distances:

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

2025

FlashVault: Versatile In-NAND Self-Encryption with Zero Area Overhead.

Seock-Hwan Noh, Hoyeon Lee, Junkyum Kim, Junsu Im, Jay H. Park, Sungjin Lee, Sam H. Noh, Yeseong Kim, Jaeha Kung

CoRR, August, 2025

Jack Unit: An Area- and Energy-Efficient Multiply-Accumulate (MAC) Unit Supporting Diverse Data Formats.

Seock-Hwan Noh, Sungju Kim, Seohyun Kim, Daehoon Kim, Jaeha Kung, Yeseong Kim

CoRR, July, 2025

All-Rounder: A Flexible AI Accelerator With Diverse Data Format Support and Morphable Structure for Multi-DNN Processing.

Seock-Hwan Noh, Seungpyo Lee, Banseok Shin, Sehun Park, Yongjoo Jang, Jaeha Kung

IEEE Trans. Very Large Scale Integr. Syst., May, 2025

FlexNeRFer: A Multi-Dataflow, Adaptive Sparsity-Aware Accelerator for On-Device NeRF Rendering.

Seock-Hwan Noh, Banseok Shin, Jeik Choi, Seungpyo Lee, Jaeha Kung, Yeseong Kim

Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025

2023

FlexBlock: A Flexible DNN Training Accelerator With Multi-Mode Block Floating Point Support.

Seock-Hwan Noh, Jahyun Koo, Seunghyun Lee, Jongse Park, Jaeha Kung

IEEE Trans. Computers, September, 2023

All-rounder: A flexible DNN accelerator with diverse data format support.

Seock-Hwan Noh, Seungpyo Lee, Banseok Shin, Sehun Park, Yongjoo Jang, Jaeha Kung

CoRR, 2023

DBPS: Dynamic Block Size and Precision Scaling for Efficient DNN Training Supported by RISC-V ISA Extensions.

Seunghyun Lee, Jeik Choi, Seock-Hwan Noh, Jahyun Koo, Jaeha Kung

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

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