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Dongho (Lucas) 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
July 2025 (TBD)
Meta (Infra Silicon Team)

System Architect
July 2024 - Mar 2025
Mangoboost (RDMA)

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

Carbon-Aware Continuous Learning for Sustainable Real-Time Machine Learning Analytics
Gwanjong Park , Osama Khan , Dongho Ha , Myeongjae Jeon , Euiseong Seo
The European Conference on Computer Systems (EuroSys 2026)
BitL: Hybrid Bit-Serial and Parallel Processing for Critical Path Reduction
Seunghyun Lee , Dongho Ha , Sungbin Kim , Sungwoo Kim , Hyunwuk Lee , Won Woo Ro
The International Symposium on Microarchitecture (MICRO 2025)
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 , 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 , 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 , Won Woo Ro
The International Symposium on Microarchitecture (MICRO 2023)
TensorCV: Accelerating Inference-Adjacent Computation Using Tensor Processors
Dongho Ha , Won Woo Ro , 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 , 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 , 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 , 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 , 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 topics) -----
Floating-Point Format Compression
Collaborating with Won Woo Ro , Yonsei University
Scaled Numeric Format
Collaborating with Yunho Oh , Korea University
Advancing BitL
Collaborating with Babak Falsafi , École Polytechnique Fédérale de Lausanne
Outlier Handling in AI/Ml
Collaborating with Won Woo Ro , Yonsei University
DMA between GPUs
Collaborating with Won Woo Ro , Yonsei University
LLM Inferencing
Collaborating with Won Woo Ro , Yonsei University
Sparse NPUs
Collaborating with Won Woo Ro , Yonsei University
Advancing MAD Macce
Collaborating with Won Woo Ro , Yonsei University

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