Seungjae Moon

According to our database, Seungjae Moon authored at least 13 papers between 2022 and 2026.

Collaborative distances:

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

2026

Adelia: A 4-nm LLM Processing Unit With Streamlined Dataflow and Dual-Mode Parallelism for Maximizing Hardware Efficiency.

Sukbin Lim, Jung-Hoon Kim, Seungjae Moon, Junseo Cha, Dongjin Seo, Jongho Kim, Hunjong Lee, Jinwon Lee, Joo-Young Kim

IEEE J. Solid State Circuits, April, 2026

OV-Stitcher: A Global Context-Aware Framework for Training-Free Open-Vocabulary Semantic Segmentation.

Seungjae Moon, Seunghyun Oh, Youngmin Ro

CoRR, April, 2026

RecycleLoRA: Rank-Revealing QR-Based Dual-LoRA Subspace Adaptation for Domain Generalized Semantic Segmentation.

Chanseul Cho, Seokju Yun, Jeaseong Jeon, Seungjae Moon, Youngmin Ro

CoRR, March, 2026

2025

Hybe: GPU-NPU Hybrid System for Efficient LLM Inference with Million-Token Context Window.

Seungjae Moon, Junseo Cha, Hyunjun Park, Joo-Young Kim

Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025

Adelia: A 4nm LLM Processor for Efficient Generative Al Inference.

Seungjae Moon, Jung-Hoon Kim, Juntaek Oh, Jay Kim, Joo-Young Kim

Proceedings of the IEEE Hot Chips 37 Symposium, 2025

2024

A Latency Processing Unit: A Latency-Optimized and Highly Scalable Processor for Large Language Model Inference.

Seungjae Moon, Jung-Hoon Kim, Junsoo Kim, Seongmin Hong, Junseo Cha, Minsu Kim, Sukbin Lim, Gyubin Choi, Dongjin Seo, Jongho Kim, Hunjong Lee, Hyunjun Park, Ryeowook Ko, Soongyu Choi, Jongse Park, Jinwon Lee, Joo-Young Kim

IEEE Micro, 2024

LPU: A Latency-Optimized and Highly Scalable Processor for Large Language Model Inference.

Seungjae Moon, Jung-Hoon Kim, Junsoo Kim, Seongmin Hong, Junseo Cha, Minsu Kim, Sukbin Lim, Gyubin Choi, Dongjin Seo, Jongho Kim, Hunjong Lee, Hyunjun Park, Ryeowook Ko, Soongyu Choi, Jongse Park, Jinwon Lee, Joo-Young Kim

CoRR, 2024

BLESS: Bandwidth and Locality Enhanced SMEM Seeding Acceleration for DNA Sequencing.

Seunghee Han, Seungjae Moon, Teokkyu Suh, Jaehoon Heo, Joo-Young Kim

Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

Internal Compensation X-Ray Detector Pixel Circuit with IGZO TFT and Perovskite Single Crystal.

Janghoo Lee, Youngjin Kim, Hyekang Park, Seoyun Kim, Seyong Choi, Seungjae Moon, Wei Lei, Byoung Seong Bae

Proceedings of the International Conference on Electronics, Information, and Communication, 2024

Micro LED Pixel Circuit with Threshold Voltage Compensation.

Youngjin Kim, Janghoo Lee, Seyong Choi, Hyekang Park, Seo Yun Kim, Seungjae Moon, Byoung Seong Bae

Proceedings of the International Conference on Electronics, Information, and Communication, 2024

2023

HyperAccel Latency Processing Unit (LPU^TM) Accelerating Hyperscale Models for Generative AI.

Seungjae Moon, Junsoo Kim, Jung-Hoon Kim, Junseo Cha, Gyubin Choi, Seongmin Hong, Joo-Young Kim

Proceedings of the 35th IEEE Hot Chips Symposium, 2023

2022

Exploration of Systolic-Vector Architecture with Resource Scheduling for Dynamic ML Workloads.

Jung-Hoon Kim, Sungyeob Yoo, Seungjae Moon, Joo-Young Kim

CoRR, 2022

DFX: A Low-latency Multi-FPGA Appliance for Accelerating Transformer-based Text Generation.

Seongmin Hong, Seungjae Moon, Junsoo Kim, Sungjae Lee, Minsub Kim, Dongsoo Lee, Joo-Young Kim

Proceedings of the 2022 IEEE Hot Chips 34 Symposium, 2022