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Dongho Ha

Languages

  • Korean (Native)
  • English (Professional)

Interests

Career Profile

I completed my Ph.D. at Yonsei University, Korea (Advisor: Professor Won Woo Ro), with a dissertation titled “GPU Architecture Design for Effective Computing Resource Usage.” My expertise spans the design of computer architectures—from general-purpose to domain-specific processors—with a focus on optimizing computing and memory resource utilization. My recent research has centered on improving GPU resource efficiency and democratizing domain-specific accelerators. To broaden my expertise from microarchitecture to system-level design, I worked as a system architect at MangoBoost Inc., where I explored SmartNICs to enhance MangoBoost DPUs. Currently, I am working at Meta as an ASIC engineer, further advancing my experience in cutting-edge chip design and large-scale hardware systems.

  • Fast learner
  • Resilient personality
  • Independent and highly motivated
  • Highly reliable team player or leader
  • Professional communication, writing, and presentation skills

Professional Experiences

ASIC Engineer
June 2025 (TBD)
Meta (Architecture)

System Architect (RDMA)
July 2024 - Mar 2025
Mangoboost

Junior Specialist
Sep 2023 - Dec 2023
University of California, Riverside, USA (Advisor: Hung-Wei Tseng)

Education

PhD. in the School of Electrical and Electronic Engineering

Mar 2021 - Aug 2024
Yonsei University, Seoul, Korea (Advisor: Won Woo Ro)

Dissertation: GPU Architecture Design for Effective Computing Resource Usage

M.S. in the School of Electrical and Electronic Engineering

Mar 2019 - Feb 2021
Yonsei University, Seoul, Korea (Advisor: Won Woo Ro)

B.S. in the School of Electrical and Electronic Engineering

Mar 2014 - Feb 2019
Yonsei University, Seoul, Korea

Publications

Avant-Garde: Empowering GPUs with Scaled Numeric Formats
Minseong Gil*, Dongho Ha*, Simla Burcu Harma, Myung Kuk Yoon, Babak Falsafi, Won Woo Ro, Yunho Oh
The International Symposium on Computer Architecture (ISCA 2025)
Effective Interplay between Sparsity and Quantization: From Theory to Practice
Simla Burcu Harma, Ayan Chakraborty, Elizaveta Kostenok, Danila Mishin, Dongho Ha, Babak Falsafi, Martin Jaggi, Ming Liu, Yunho Oh, Suvinay Subramanian, Amir Yazdanbakhsh
The International Conference on Learning Representations (ICLR 25, Spotlight)
M3XU: Achieving High-Precision and Complex Matrix Multiplication with Low-Precision MXUs
Dongho Ha*, Yunan Zhang*, Chen-Chien Kao, Christopher J. Hughes, Won Woo Ro, and Hung-Wei Tseng
The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC 2024)
Generalizing Ray Tracing Accelerators for Tree Traversals on GPUs
Dongho Ha*, Lufei Liu*, Yuan Hsi Chou, Seokjin Go, Won Woo Ro, Hung-Wei Tseng, and Tor M. Aamodt
The International Symposium on Microarchitecture (MICRO 2024)
Recompiling QAOA Circuits on Various Rotational Directions
Enhyeok Jang, Dongho Ha, Seungwoo Choi, Youngmin Kim, Jaewon Kwon, Yongju Lee, Sungwoo Ahn, Hyungseok Kim, Won Woo Ro
The International Conference on Parallel Architectures and Compilation Techniques (PACT 2024)
MAD MAcce: Supporting Multiply-Add Operations for Democratizing Matrix-Multiplication Accelerators
Seunghwan Sung, Sujin Hur, Dongho Ha, Sungwoo Kim, Yunho Oh, and Won Woo Ro
The International Symposium on Microarchitecture (MICRO 2023)
TensorCV: Accelerating Inference-Adjacent Computation Using Tensor Processors
Dongho Ha, Won Woo Ro, and Hung-Wei Tseng
The International Symposium on Low Power Electronics and Design (ISLPED’23)
R2D2: Removing ReDunDancy Utilizing Linearity of Address Generation in GPUs
Dongho Ha, Yunho Oh, and Won Woo Ro
The International Symposium on Computer Architecture (ISCA 2023)
Investigation on NVIDIA Ampere GPU Architecture With Reverse Engineering
Sujin Hur, Seunghwan Sung, Dongho Ha, Sungwoo Kim, and Won Woo Ro
The International Conference on Electronics, Information, and Communication (ICEIC 2023)
Detecting Pattern of Warp Register Value Differences in CTA using GPU Compiler
Dongho Ha and Won Woo Ro
The International Conference on Electronics, Information, and Communication (ICEIC 2020)
Hardware Accelerator Systems for Artificial Intelligence and Machine Learning
Won Jeon, Gun Ko, Jiwon Lee, Hyunwuk Lee, Dongho Ha, and Won Woo Ro
Advances in Computers, Elsvier, vol. 122: Academic Press; 2020, Chapter 6
Trends of High-End Graphic Processing Unit Development
Dongho Ha, Hyunwuk Lee, Jiwon Lee, Hyun Jae Oh, Won Jeon, Yunho Oh, Won Woo Ro
Korean Information Science Society (2019)
----- On-Going Projects (only project names) -----
DMA between GPUs
Co-author
Effective LLM Inferencing
Co-author
Sparse/Dense NPUs
Co-author
The next step for MAD Macce
Co-author
Bit-wise Matrix Multiplication
Co-author
Continuous Learning
Co-author, collaborating with Euiseong Seo, SKKU

Remarks

Industry Project
- Study on Memory Sub-System Architecture for Hyper-Scale AI Training, SK Hynix, 2024
- Development of PIM Software Architecture based on Data-Flow Computing, Korea Government (Institute of Information & communications Technology Planning & Evaluation, 2024
- Analysis and Development of GPU Architecture for HPC Workloads [Patent], Samsung (SAIT), 2021-2022
- Development of Data Center Many-core NPU Architecture and Memory Interface, Samsung, 2019-2020
- Development of CPU-GPU Heterogeneous Computing Simulation Environment, SK Hynix, 2019-2020
- Development of the Identification Data Processing Technology for On-site Police Officers, Korea Government (Korea National Police Agency), 2018-2023
- Development of Multi-GPU Based High Speed Ray-Tracing Engine, Samsung, 2017-2018
Conference Program/Review Committee
- International Conference on Microarchitecture (MICRO), 2025
- Workshop on General Purpose Processing using GPUs (GPGPU), 2025
Journal Reviewer
- IEEE Computer Architecture Letters (CAL) ×6 (2022-2025)
- IEEE Transactions on Emerging Topics in Computing (TETC) ×1 (2022-2023)
- ACM Transactions on Architecture and Code Optimization (TACO) ×2 (2022-2023)
Visiting Scholar
- University of California, Riverside, USA (Advisor: Hung-Wei Tseng), 2022 - 2023
Teaching Assistant
- EEE3530: Computer Architecture, Yonsei University, Seoul, Korea, 2021 Spring
- EEE4473: Embedded System Lab., Yonsei University, Seoul, Korea, 2020 Spring
Fundings
- BK21 FOUR Project Scholarship: 23,800,000 KRW
- Teaching Assistanct Scholarship: 3,716,000 KRW
- Research Assistance Scholarship: 3,000,000 KRW
- External Scholarship: 11,400,000 KRW
Blogs
- Ph.D. Guideline [Link]

Acknowledgement

Won Woo Ro Ph.D. advisor
Yunho Oh Mentor
Hung-Wei Tseng Visiting scholar advisor
Babak Falsafi Collaborator
Tor M. Aamodt Collaborator