Gunho Park - RankMe

19 papers A* 3A 1C 1Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	31.7 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. ISSCC Sunwoo Yoo, Dongyun Kam, Gunho Park, Soonhyun Kwon, Dongsoo Lee, Youngjoo Lee
2026	J	`jnl`	Affine-Scaled Attention: Towards Flexible and Stable Transformer Attention. CoRR Jeongin Bae, Baeseong Park, Gunho Park, Minsub Kim, Joonhyung Lee, Junhee Yoo, Sunghyeon Woo, Jiwon Ryu, Se Jung Kwon, Dongsoo Lee
2026	J	`jnl`	Training-free Dropout Sampling for Semantic Token Acceptance in Speculative Decoding. CoRR Jeongtae Lee, Minjung Jo, Hyunjoon Jeong, Gunho Park, Sunghyeon Woo, Joonghoon Kim, Se Jung Kwon, Dongsoo Lee
2025	J	`jnl`	An Investigation of FP8 Across Accelerators for LLM Inference. CoRR JiWoo Kim, Joonhyung Lee, Gunho Park, Byeongwook Kim, Se Jung Kwon, Dongsoo Lee, Youngjoo Lee
2025	J	`jnl`	AnyBCQ: Hardware Efficient Flexible Binary-Coded Quantization for Multi-Precision LLMs. CoRR Gunho Park, Jeongin Bae, Beomseok Kwon, Byeongwook Kim, Se Jung Kwon, Dongsoo Lee
2025	J	`jnl`	CodeGEMM: A Codebook-Centric Approach to Efficient GEMM in Quantized LLMs. CoRR Gunho Park, Jeongin Bae, Byeongwook Kim, Baeseong Park, Jiwon Ryu, Hoseung Kim, Se Jung Kwon, Dongsoo Lee
2025	A*	`conf`	FIGLUT: An Energy-Efficient Accelerator Design for FP-INT GEMM Using Look-Up Tables. HPCA Gunho Park, Hyeokjun Kwon, JiWoo Kim, Jeongin Bae, Baeseong Park, Dongsoo Lee, Youngjoo Lee
2025	J	`jnl`	FIGLUT: An Energy-Efficient Accelerator Design for FP-INT GEMM Using Look-Up Tables. CoRR Gunho Park, Hyeokjun Kwon, JiWoo Kim, Jeongin Bae, Baeseong Park, Dongsoo Lee, Youngjoo Lee
2025	J	`jnl`	Faster Inference of LLMs using FP8 on the Intel Gaudi. CoRR 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
2024	J	`jnl`	Domain knowledge free cloud-IDS with lightweight embedding method. J. Cloud Comput. Yongsik Kim, Gunho Park, Huy Kang Kim
2024	A*	`conf`	LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models. ICLR Gunho Park, Baeseong Park, Minsub Kim, Sungjae Lee, Jeonghoon Kim, Beomseok Kwon, Se Jung Kwon, Byeongwook Kim, Youngjoo Lee, Dongsoo Lee
2024	C	`conf`	Low-Power Encoder and Compressor Design for Approximate Radix-8 Booth Multiplier. ISCAS JiWoo Kim, Gunho Park, Youngjoo Lee
2024	J	`jnl`	No Token Left Behind: Reliable KV Cache Compression via Importance-Aware Mixed Precision Quantization. CoRR June Yong Yang, Byeongwook Kim, Jeongin Bae, Beomseok Kwon, Gunho Park, Eunho Yang, Se Jung Kwon, Dongsoo Lee
2023	A	`conf`	Energy-Efficient RISC-V-Based Vector Processor for Cache-Aware Structurally-Pruned Transformers. ISLPED Jung Gyu Min, Dongyun Kam, Younghoon Byun, Gunho Park, Youngjoo Lee
2023	J	`jnl`	Simplified Compressor and Encoder Designs for Low-Cost Approximate Radix-4 Booth Multiplier. IEEE Trans. Circuits Syst. II Express Briefs Gunho Park, Jaeha Kung, Youngjoo Lee
2023	—	`conf`	Sparsity-Aware Memory Interface Architecture using Stacked XORNet Compression for Accelerating Pruned-DNN Models. MLSys Younghoon Byun, Seungsik Moon, Baeseong Park, Se Jung Kwon, Dongsoo Lee, Gunho Park, Eunji Yoo, Jung Gyu Min, Youngjoo Lee
2023	A*	`conf`	TF-MVP: Novel Sparsity-Aware Transformer Accelerator with Mixed-Length Vector Pruning. DAC Eunji Yoo, Gunho Park, Jung Gyu Min, Se Jung Kwon, Baeseong Park, Dongsoo Lee, Youngjoo Lee
2022	J	`jnl`	nuQmm: Quantized MatMul for Efficient Inference of Large-Scale Generative Language Models. CoRR Gunho Park, Baeseong Park, Se Jung Kwon, Byeongwook Kim, Youngjoo Lee, Dongsoo Lee
2021	J	`jnl`	Design and Analysis of Approximate Compressors for Balanced Error Accumulation in MAC Operator. IEEE Trans. Circuits Syst. I Regul. Pap. Gunho Park, Jaeha Kung, Youngjoo Lee