Gunho Park

According to our database, Gunho Park authored at least 14 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

AnyBCQ: Hardware Efficient Flexible Binary-Coded Quantization for Multi-Precision LLMs.

Gunho Park, Jeongin Bae, Beomseok Kwon, Byeongwook Kim, Se Jung Kwon, Dongsoo Lee

CoRR, October, 2025

Faster Inference of LLMs using FP8 on the Intel Gaudi.

Joonhyung Lee, Shmulik Markovich-Golan, Daniel Ohayon, Yair Hanani, Gunho Park, Byeongwook Kim, Asaf Karnieli, Uri Livne, Haihao Shen, Tai Huang, Se Jung Kwon, Dongsoo Lee

CoRR, March, 2025

An Investigation of FP8 Across Accelerators for LLM Inference.

Jiwoo Kim, Joonhyung Lee, Gunho Park, Byeongwook Kim, Se Jung Kwon, Dongsoo Lee, Youngjoo Lee

CoRR, February, 2025

FIGLUT: An Energy-Efficient Accelerator Design for FP-INT GEMM Using Look-Up Tables.

Gunho Park, Hyeokjun Kwon, Jiwoo Kim, Jeongin Bae, Baeseong Park, Dongsoo Lee, Youngjoo Lee

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2025

2024

Domain knowledge free cloud-IDS with lightweight embedding method.

Yongsik Kim, Gunho Park, Huy Kang Kim

J. Cloud Comput., December, 2024

No Token Left Behind: Reliable KV Cache Compression via Importance-Aware Mixed Precision Quantization.

June Yong Yang, Byeongwook Kim, Jeongin Bae, Beomseok Kwon, Gunho Park, Eunho Yang, Se Jung Kwon, Dongsoo Lee

CoRR, 2024

Low-Power Encoder and Compressor Design for Approximate Radix-8 Booth Multiplier.

Jiwoo Kim, Gunho Park, Youngjoo Lee

Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models.

Gunho Park, Baeseong Park, Minsub Kim, Sungjae Lee, Jeonghoon Kim, Beomseok Kwon, Se Jung Kwon, Byeongwook Kim, Youngjoo Lee, Dongsoo Lee

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Simplified Compressor and Encoder Designs for Low-Cost Approximate Radix-4 Booth Multiplier.

Gunho Park, Jaeha Kung, Youngjoo Lee

IEEE Trans. Circuits Syst. II Express Briefs, March, 2023

Sparsity-Aware Memory Interface Architecture using Stacked XORNet Compression for Accelerating Pruned-DNN Models.

Younghoon Byun, Seungsik Moon, Baeseong Park, Se Jung Kwon, Dongsoo Lee, Gunho Park, Eunji Yoo, Jung Gyu Min, Youngjoo Lee

Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

Energy-Efficient RISC-V-Based Vector Processor for Cache-Aware Structurally-Pruned Transformers.

Jung Gyu Min, Dongyun Kam, Younghoon Byun, Gunho Park, Youngjoo Lee

Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2023

TF-MVP: Novel Sparsity-Aware Transformer Accelerator with Mixed-Length Vector Pruning.

Eunji Yoo, Gunho Park, Jung Gyu Min, Se Jung Kwon, Baeseong Park, Dongsoo Lee, Youngjoo Lee

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

nuQmm: Quantized MatMul for Efficient Inference of Large-Scale Generative Language Models.

Gunho Park, Baeseong Park, Se Jung Kwon, Byeongwook Kim, Youngjoo Lee, Dongsoo Lee

CoRR, 2022

2021

Design and Analysis of Approximate Compressors for Balanced Error Accumulation in MAC Operator.

Gunho Park, Jaeha Kung, Youngjoo Lee

IEEE Trans. Circuits Syst. I Regul. Pap., 2021