MEMBER

Gunho Park, Ph.D.

(Last update: Nov. 2025)

Contact Information

• Current Affiliation: NAVER CLOUD

• Email : gunho1123[at]postech.ac.kr

Educational Backgrounds

• [2021/02~2024/08] Ph.D. in Electrical Engineering, POSTECH, Pohang, Republic of Korea

• [2019/02~2021/02] M.S. in Electrical Engineering, POSTECH, Pohang, Republic of Korea

• [2012/03~2019/02] B.S. in Electrical Engineering, POSTECH, Pohang, Republic of Korea

Professional Experiences

• [2024/08~Present] Research Scientist, NAVER CLOUD, Seongnam, Republic of Korea

• [2018/01~2024/08] Research Assistant, POSTECH, Pohang, Republic of Korea

• [2023/09~2024/02] Research Intern, NAVER CLOUD, Seongnam, Republic of Korea

• [2021/09~2022/03] Research Intern, NAVER CLOVA, Seongnam, Republic of Korea

• [2018/12~2019/02] Software Engineering Intern, SK Hynix, Icheon, Republic of Korea

• [2017/09~2017/12] Exchange Scholarship, Univ. of California, Berkeley, CA, United States

• [2017/01~2017/12] Backend Developer Intern, byclip, Seoul, Republic of Korea

Research Interests

• Intelligent Mobile System-on-Chip

• ASIC/FPGA Implementation

• General Purpose Graphic Processing Unit (GPGPU)

• Approximate Computing

• Deep Learning

Publications
(Since Sep. 2024, updates have been limited to EPIC LAB collaborations.)

• International Journal Papers

  1. Gunho Park, Jaeha Kung, and Youngjoo Lee*, "Simplified compressor and encoder designs for low-cost approximate radix-4 Booth multiplier," IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 70, no.3, pp. 1154-1158, Mar. 2023.

  2. Gunho Park, Jaeha Kung, and Youngjoo Lee*, "Design and analysis of approximate compressors for balanced error accumulation in MAC operator," IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 68, no. 7, pp. 2950-2961, July 2021.

• International Conference Proceedings

  1. [Accepted] Sunwoo Yoo+, Dongyun Kam+, Gunho Park, Soonhyun Kwon, Dongsoo Lee, and Youngjoo Lee*, "LUT-SSM: A 99.3TFLOPS/W LUT-based state-space model accelerator using energy-efficient element-wise layer fusion and LUT-friendly weight-only quantization," IEEE International Solid-State Circuits Conference (ISSCC), San Francisco, CA, USA, Feb. 2026.

  2. Gunho Park+, Hyeokjun Kwon+, Jiwoo Kim, Jeongin Bae, Baeseong Park, Dongsoo Lee, and Youngjoo Lee*, "FIGLUT: An energy-efficient accelerator design for FP-INT GEMM using look-up tables," IEEE International Symposium on High-Performance Computer Architecture (HPCA), Las Vegas, NV, USA, Mar. 2025.

  3. Gunho Park+, Baeseong Park+, Minsub Kim, Sungjae Lee, Jeonghoon Kim, Beomseok Kwon, Se Jung Kwon, Byeongwook Kim, Youngjoo Lee, and Dongsoo Lee*, "LUT-GEMM: Quantized matrix multiplication based on LUTs for efficient inference in large-scale generative language models," International Conference on Learning Representations (ICLR), Vienna, Austria, May 2024.

  4. Jiwoo Kim, Gunho Park, and Youngjoo Lee*, "Low-power encoder and compressor design for approximate radix-8 Booth multiplier," IEEE International Symposium on Circuits and Systems (ISCAS), Singapore, Singapore, May 2024.

  5. Jung Gyu Min, Dongyun Kam, Younghoon Byun, Gunho Park, and Youngjoo Lee*, "Energy-efficient RISC-V-based vector processor for cache-aware structurally-pruned transformers," ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), Vienna, Austria, Aug. 2023.

  6. Eunji Yoo+, Gunho Park+, Jung Gyu Min, Se Jung Kwon, Baeseong park, Dongsoo Lee, and Youngjoo Lee*, "TF-MVP: Novel sparsity-aware transformer accelerator with mixed-length vector pruning," Design Automation Conference (DAC), San Francisco, CA, USA, July 2023.

  7. Younghoon Byun+, Seungsik Moon+, Baeseong Park, Se Jung Kwon, Dongsoo Lee, Gunho Park, Eunji Yoo, Jung Gyu Min, and Youngjoo Lee*, "Sparsity-aware memory interface architecture using stacked XORNet compression for accelerating pruned-DNN models," Conference on Machine Learning and Systems (MLSys), Miami, FL, USA, June 2023. 

• Domestic Conference Proceedings

  1. 심도은, 박군호, 이영주*, "Low-precision posit과 floating-point arithmetic의 정밀도 및 하드웨어 복잡도 분석," 전자공학회 하계종합학술대회, June 2022.

  2. 박군호, 궁재하, 김영석, 김미정, 이영주*, "저전력 딥러닝 가속기를 위한 근사 곱셈기 설계 프레임워크," 대한전자공학회 하계종합학술대회, July 2021. (네이버 논문상)

  3. 박군호, 윤형석, 이재호, 김영석, 김미정, 이영주*, "FPGA 기반의 고해상도 generative adversarial network 가속기 구현," 제 26회 한국반도체학술대회, Feb. 2019, pp. 825. 

  4. 이재호, 윤형석, 박군호, 김영석, 김미정, 이영주*, "Super resolution generative adversarial network (SRGAN) 모델 경량화," 제 26회 한국반도체학술대회, Feb. 2019, pp. 826. (Best Poster Award) 

• Patents

  1. 이영주, 박군호, 김영석, "부분곱 생성기, 부분곱 누적기 및 이들을 포함하는 근사 곱셈기," 출원번호: 10-2022-0160911.

  2. Youngjoo Lee, Young-Seok Kim, Hyunhoon Lee, and Gunho Park, "Method and device for high-speed image recognition using 3D CNN," US17/422,161.

  3. Youngjoo Lee, Young-Seok Kim, Hyunhoon Lee, and Gunho Park, "Method and apparatus for high-speed image recognition using 3D convolutional neural network," PCT/KR2020/000647.

  4. 이영주, 김영석, 박군호, 이현훈, "동적으로 3D CNN을 이용하는 고속 영상 인식 방법 및 장치," 등록번호: 10-2263005, 출원번호: 10-2019-0005200.

  5. 이영주, 김영석, 박군호, 이현훈, "3D CNN을 이용한 고속 영상 인식 방법 및 장치," 등록번호: 10-2263017, 출원번호: 10-2019-0005188.

Open Source Projects

• TensorFlow Model Developer - Google x Postech

1. BASNet: Boundary-Aware Salient Object Detection (link)

2. DETR: End-to-End Object Detection with Transformers (link)

3. Pix2Seq: A Language Modeling Framework for Object Detection (link)

Awards and Honors

• Best Paper Award (네이버 논문상), Summer Annual Conference of IEIE, 2021.

• Best Poster Award, 제 26회 한국반도체학술대회, 2019.

• Excellence Award, Intel FPGA Design Contest, 2018.