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Ranggi Hwang
Ranggi Hwang
Assistant Professor
Computer Architecture and Co-design Research Group (CoCoLab)
Department of Computer Science and Engineering (CSE)
Ulsan National Institute of Science & Technology (UNIST)
ranggi.hwg@gmail.com / #601-3, Bldg. 106
(Student Recruiting!) I’m actively recruiting self-motivated, dedicated, and talented students interested in hardware–software co-design for AI/ML applications. Our group has multiple openings for graduate students and undergraduate research interns. If you’re interested in joining, please apply through our university’s graduate admissions system and indicate that you’d like to work with me. You may also email me a brief introduction with your CV and transcripts, and describe what you hope to achieve in graduate school.
About Me
About Me
I am an Assistant Professor in the Department of Computer Science and Engineering at UNIST.
I earned my Ph.D. from KAIST in 2025. My research centers on computer architecture, with a particular focus on hardware–software co-design for AI/ML. During my graduate studies, I designed GPU systems and AI accelerators for workloads such as recommender systems, graph algorithms, and privacy-preserving AI.
I also completed research internships at the System and Networking Research Group at Microsoft Research Asia and the Architecture Research Group at NVIDIA Research, where I worked on memory- and power-efficient GPU systems for large language model (LLM) inference.
Education
Education
Korea Advanced Institute of Science & Technology (KAIST)
Ph.D. in Electrical Engineering, March 2021 - August 2025
Dissertation: An Efficient and Scalable System Design for Mixture-of-Experts Inference
M.S. in Electrical Engineering, March 2019 - February 2021
Dissertation: Hybrid CPU-FPGA Accelerator for Deep Learning based Personalized Recommendations
Advisor: Prof. Minsoo Rhu
B.S. in Electrical Engineering, March 2013 - February 2019
Work Experience
Work Experience
Assistant Professor @ UNIST, Ulsan, South Korea
September 2025 - Present
Research on a hardware-software co-design for AI/ML applications
Research Intern @ NVIDIA Research, Austin, Texas, USA
July 2024 - October 2024
Research on a power-efficient multi-GPU system for large language model inference
Research on finding optimal data placement, parallelism, and deployment strategy
Mentor: Dr. Mike O'Connor and Dr. Donghyuk Lee / Manager: Dr. David Nellans
Research Intern @ Microsoft Research Asia, Bejing, China
October 2022 - April 2023
Research on a memory-efficient GPU system for large language model inference
Research on reducing GPU memory requirement and data migration on GPU system
(Hwang et al., "Pre-gated MoE: An Algorithm-System Co-Design for Fast and Scalable Mixture-of-Expert Inference," ISCA-2024)
[Microsoft Research Blog: Research Focus]Mentor: Dr. Shijie Cao / Manager: Dr. Ting Cao
Research Engineer Intern @ Samsung Electronics, Suwon, South Korea
January 2018 - February 2018
Researched connectivity and power management for the visual display circuit
Participated in prototype development for UHD TVs and outdoor display products
Academic Service
Academic Service
Program Committee
IEEE International Symposium on High-Performance Computer Architecture (HPCA): 2026
External Program Committee
IEEE/ACM International Symposium on Microarchitecture (MICRO): 2025
IEEE International Symposium on High-Performance Computer Architecture (HPCA): 2024
Artifact Evaluation Committee
Journal Reviewer
IEEE Transactions on Computers
IEEE Solid-State Circuits Letters
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