Email: minho1.ha@sk.com
Office: 9, Seongnam-daero 343beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do, Republic of Korea
Google Scholar: https://scholar.google.co.kr/citations?user=-O1Xm80AAAAJ&hl=ko
Dissertation: Solutions for Hardware-Efficient Convolutional Neural Network Inference [slides] [paper]
Advisor: Sunggu Lee
Thesis: Approximate Arithmetic Unit Designs for Error-Resilient Applications [slides]
Advisor: Sunggu Lee
DeepSpeed
PyTorch
TensorFlow
C
Python
others (C++, Java, Ruby)
gem5
CACTI
Verilog HDL
VHDL
Xcelium Logic Simulator
Xilinx Vivado
Intel Quartus
Xilinx Vitis
MATLAB
Hyeyoon Cho, Hyojun Son, Junmin Choi, Byungil Koh, Minho Ha, and John Kim, "Proactive Embedding on Cold Data for Deep Learning Recommendation Model Training," IEEE Computer Architecture Letters, vol. 23, no. 2, pp. 203-206, July-Dec. 2024.
Minho Ha, Junhee Ryu, Jungmin Choi, Kwangjin Ko, Sunwoong Kim, Sungwoo Hyun, Donguk Moon, Byungil Koh, Hokyoon Lee, Myoungse Kim, Hoshik Kim, and Kyoung Park, "Dynamic Capacity Service for Improving CXL Pooled Memory Efficiency," IEEE Micro, vol. 42, no. 2, pp. 39-47, 2023.
Minho Ha, Younghoon Byun, Seungsik Moon, Youngjoo Lee, and Sunggu Lee*, "Layerwise Buffer Voltage Scaling for Energy-Efficient Convolutional Neural Network," IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 40, no. 3, pp. 1-10, 2021.
Minho Ha, Younghoon Byun, Jeonghun Kim, Jaecheol Lee, Youngjoo Lee, and Sunggu Lee*, "Selective Deep Convolutional Neural Network for Low Cost Distorted Image Classification," IEEE Access, vol. 7, pp. 133030-133042, 2019.
Minho Ha and Sunggu Lee*, “Multipliers with Approximate 4-2 Compressors and Error Recovery Modules,” IEEE Embedded Systems Letters, vol. 10, no. 1, pp. 6-9, Mar. 2018.
Minho Ha and Sunggu Lee*, “Accurate Hardware-Efficient Logarithm Circuit,” IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 64, no. 8, pp. 967-971 , Aug. 2017.
Sanghoon Lee, Jongho Park, Minho Ha, Byungil Koh, Kyoung Park, and Yeseong Kim, “Sidekick: Near Data Processing for Clustering Enhanced by Automatic Memory Disaggregation,” Design Automation Conference (DAC), San Francisco, Jul. 2023.
Jongho Park, Hyukjun Kwon, Seowoo Kim, Junyoung Lee, Minho Ha, Euicheol Lim, Mohsen Imani, and Yeseong Kim*, "QuiltNet: Efficient Deep Learning Inference on Multi-Chip Accelerators Using Model Partitioning," Design Automation Conference (DAC), San Francisco, Jul. 2022.
Minho Ha, Joonseop Sim, Donguk Moon, Myunghyun Rhee, Jungmin Choi, Byungil Koh, Euicheol Lim, and Kyoung Park*, "CMS: A Computational Memory Solution for High-Performance and Power-Efficient Recommendation System," IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS) Industrial Session, Incheon, Jun. 2022.
Minho Ha, Seokha Hwang, Jeonghun Kim, Youngjoo Lee, and Sunggu Lee*, "Hierarchical Approximate Memory for Deep Neural Network Applications," Asilomar Conference on Signals, Systems, and Computers (ACSSC), Nov. 2020.
Younghoon Byun, Minho Ha, Jeonghun Kim, Sunggu Lee, and Youngjoo Lee*, "Low-Complexity Dynamic Channel Scaling of Noise-Resilient CNN for Intelligent Edge Devices," Design, Automation and Test in Europe (DATE), Mar. 2019.
Minho Ha, “Memory-Centric Computing Systems,” Introduction to Semiconductor Industrial Ecosystem, POSTECH GSST, Sep. 2025.
Minho Ha, “Dynamic Capacity Service for Improving CXL Pooled Memory Efficiency,” Workshop on Memory-Centric Computing Technologies and Industry Trends (in Conjunction with Korea Computer Congress 2023), Jun. 2023.
Minho Ha, “Dynamic Capacity Service for Improving CXL Pooled Memory Efficiency,” SK hynix Future Technology Symposium, Apr. 2023.
Minho Ha, Joonseop Sim, Jungmin Choi, Donguk Moon, Myunghyun Rhee, Taeyoung Ahn, Byungil Koh, Euicheol Lim and Kyoung Park, "Accelerating Data Analytics near Memory: A k-NN Search Case Study," Design Automation Conference (DAC) Work-in-Progress Session, San Francisco, Jul. 2022.
Minho Ha, Joonseop Sim, Jungmin Choi, Donguk Moon, Myunghyun Rhee, Taeyoung Ahn, Byungil Koh, Euicheol Lim and Kyoung Park, "Accelerating Data Analytics near Memory: A k-NN Search Case Study," International Workshop on Domain Specific System Architecture (DoSSA), Virtual Conference, Apr. 2022.
Minho Ha, “Computational Memory Solution,” SK ICT Tech Summit 2021, Nov. 3, 2021.
Minho Ha and Sunggu Lee, "DMC: Differentiable Model Compression for Hardware-Efficient Convolutional Neural Network," Design Automation Conference (DAC) Work-in-Progress Session, Virtual Conference, Jul. 2020.
Minho Ha, Younghoon Byun, Youngjoo Lee, and Sunggu Lee, "Dynamic Buffer Voltage Scaling for Energy-Efficient Convolutional Neural Network," Design Automation Conference (DAC) Work-in-Progress Session, Las Vegas, Jun. 2019.
Minho Ha, "Computing System Including Storage Device and Operating Method Thereof," Application Number: US19/300,438
Jongho Park, Hoyeon Lee, Yeseong Kim, Minho Ha, Byungil Koh, "Neural Network System Embedding Operation," Application Number: US19/308,032
Jongho Park, Hoyeon Lee, Yeseong Kim, Minho Ha, Byungil Koh, "Neural Network System Performing Parallel Neural Network Operation," Application Number: US19/248,179
Sanghoon Lee, Jongho Park, Yeseong Kim, Minho Ha, Byungil Koh, Jungmin Choi, "Data Processing System Including Remote Processing Devcie, and Operation Method Thereof," Application Number: US18/420,542
Haeyoon Cho, Hyojun Son, John Dongjun Kim, Jungmin Choi, Byungil Koh, Minho Ha, "Neural Network Accelerator with Improved Learning Performance and Operation Method Thereof," Application Number: US18/520,276
Jungmin Choi, Sunwoong Kim, Byungil Koh, Minho Ha, "Apparatus and Method for Sanitizing a Shared Memory Device or A Memory Expander," Registration Number: US12287968.
Minho Ha, "Switching Controller, Storage Device and Computing System for Improving Difference of Access Latency between Memories," Registration Number: US12326815.
Yeseong Kim, Jongho Park, Hyukjun Kwon, Seowoo Kim, Minho Ha, Euicheol Lim,"Device for partitioning a neural network and operation method thereof," Application Number: US18/048,356.
Youngjoo Lee, Sunggu Lee, Minho Ha, Younghoon Byun, “Neural processing device and operation method thereof,” Registration Number: US11748612.
하민호, 이영주, 이승구, “고효율 디지털 신호처리를 위한 근사 곱셈기 설계,” The Magazine of the IEIE, vol. 44, no. 6, pp. 24-31, Jun. 2017.
이승구, 하민호, “Logarithmic Number System (LNS) 기반 연산의 정확도 향상 연구,” IDEC Newsletter, vol. 222, Dec. 2015.
Learning about Electrical Engineering Using Matlab [EECE236], POSTECH, Spring 2019.
Computational Intelligence [EECE651], POSTECH, Fall 2018.
Computational Intelligence [EECE651], POSTECH, Fall 2017.
Computational Intelligence [EECE651], POSTECH, Fall 2016.
Introduction to Computer Security [EECE472-01], POSTECH, Fall 2015.
Zebu용 Generic PCIe Host AP 구현, Samsung Foundry, 2019.05.-2019.06.
초저전력 지능형 모바일 시스템을 위한 자율 정확도 스케일링, Samsung Research Funding & Incubation Center, 2017.09.-2020.08.
고속 제품 증가 대응을 위한 검사 기법, Samsung Electronics Test & Package Center, 2016.03.-2018.06.
Advanced Technology Pathfinding for Future Memory and Storage System, 2025.01.-present
CXL-based Hybrid (DRAM + NAND) Memory System
Future GPU-based Training and Inference System
Memory System Architecture Exploration for AI Training and Inference, 2024.01.-2024.12.
CXL Pooled Memory Architecture Exploration, 2021.11.-2023.12.
Discovering Value-Added Feature of CXL Pooled Memory
CXL Pooled Memory Device Firmware Design & Verification
Hardware Architecture Modeling for Recommendation System & Data Analytics, 2020.08.-2021.11.
Circuits, Systems, and Signal Processing
2023
IEEE Micro
2022
IEEE Transactions on Emerging Topics in Computing
2020
International Journal of Circuit Theory and Applications
2020
AEÜ - International Journal of Electronics and Communications
2019
International Symposium on Circuits and Systems
2019~2021
IEEE Transactions on Circuits and Systems I: Regular Papers
2019~2020, 2023~2024
IEEE Transactions on Circuits and Systems II: Express Briefs
2017~2024