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Junsoo Kim 0002
Person information
- affiliation: Korea Advanced Institute of Science and Technology, Daejeon, South Korea
Other persons with the same name
- Junsoo Kim — disambiguation page
- Junsoo Kim 0001
— Seoul National University of Science and Technology, Seoul, South Korea
- Junsoo Kim 0003
- Junsoo Kim 0004
- Junsoo Kim 0005
- Junsoo Kim 0006 — Japan Advanced Institute of Science and Technology, Ishikawa, Japan
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2020 – today
- 2025
- [i4]Junsoo Kim, Hunjong Lee, Geonwoo Ko, Gyubin Choi, Seri Ham, Seongmin Hong, Joo-Young Kim:
ADOR: A Design Exploration Framework for LLM Serving with Enhanced Latency and Throughput. CoRR abs/2503.04253 (2025) - [i3]Minsu Kim, Seongmin Hong, Ryeowook Ko, Soongyu Choi, Hunjong Lee, Junsoo Kim, Joo-Young Kim, Jongse Park:
Oaken: Fast and Efficient LLM Serving with Online-Offline Hybrid KV Cache Quantization. CoRR abs/2503.18599 (2025) - 2024
- [j6]Junsoo Kim
EPU: An Energy-Efficient Explainable AI Accelerator With Sparsity-Free Computation and Heat Map Compression/Pruning. IEEE J. Solid State Circuits 59(3): 830-841 (2024) - [j5]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:
A Latency Processing Unit: A Latency-Optimized and Highly Scalable Processor for Large Language Model Inference. IEEE Micro 44(6): 17-33 (2024) - [i2]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:
LPU: A Latency-Optimized and Highly Scalable Processor for Large Language Model Inference. CoRR abs/2408.07326 (2024) - 2023
- [j4]Jaehoon Heo
T-PIM: An Energy-Efficient Processing-in-Memory Accelerator for End-to-End On-Device Training. IEEE J. Solid State Circuits 58(3): 600-613 (2023) - [c6]Junsoo Kim, Geonwoo Ko, Ji-Hoon Kim, Changha Lee, Taewoo Kim, Chan-Hyun Youn, Joo-Young Kim:
A 26.55TOPS/W Explainable AI Processor with Dynamic Workload Allocation and Heat Map Compression/Pruning. CICC 2023: 1-2 - [c5]Seungjae Moon, Junsoo Kim, Jung-Hoon Kim, Junseo Cha, Gyubin Choi, Seongmin Hong, Joo-Young Kim:
HyperAccel Latency Processing Unit (LPUTM) Accelerating Hyperscale Models for Generative AI. HCS 2023: 1 - 2022
- [j3]Taewoo Kim
Federated Onboard-Ground Station Computing With Weakly Supervised Cascading Pyramid Attention Network for Satellite Image Analysis. IEEE Access 10: 117315-117333 (2022) - [j2]Gyeongcheol Shin
OpenMDS: An Open-Source Shell Generation Framework for High-Performance Design on Xilinx Multi-Die FPGAs. IEEE Comput. Archit. Lett. 21(2): 101-104 (2022) - [j1]Wontak Han
Design of Processing-in-Memory With Triple Computational Path and Sparsity Handling for Energy-Efficient DNN Training. IEEE J. Emerg. Sel. Topics Circuits Syst. 12(2): 354-366 (2022) - [c4]Jaehoon Heo, Junsoo Kim, Wontak Han, Sukbin Lim
T-PIM: A 2.21-to-161.08TOPS/W Processing-In-Memory Accelerator for End-to-End On-Device Training. CICC 2022: 1-2 - [c3]Gyeongcheol Shin, Junsoo Kim, Joo-Young Kim:
OpenMDS: An Open-Source Shell Generation Framework for High-Performance Design on Multi-Die FPGAs. FCCM 2022: 1 - [c2]Seongmin Hong, Seungjae Moon, Junsoo Kim, Sungjae Lee, Minsub Kim
DFX: A Low-latency Multi-FPGA Appliance for Accelerating Transformer-based Text Generation. HCS 2022: 1-17 - [c1]Seongmin Hong, Seungjae Moon, Junsoo Kim, Sungjae Lee, Minsub Kim
DFX: A Low-latency Multi-FPGA Appliance for Accelerating Transformer-based Text Generation. MICRO 2022: 616-630 - [i1]Seongmin Hong, Seungjae Moon, Junsoo Kim, Sungjae Lee, Minsub Kim, Dongsoo Lee, Joo-Young Kim:
DFX: A Low-latency Multi-FPGA Appliance for Accelerating Transformer-based Text Generation. CoRR abs/2209.10797 (2022)
Coauthor Index
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