Sukbin Lim

13 papers B 1Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adelia: A 4-nm LLM Processing Unit With Streamlined Dataflow and Dual-Mode Parallelism for Maximizing Hardware Efficiency.
IEEE J. Solid State Circuits
Sukbin Lim, Jung-Hoon Kim, Seungjae Moon, Junseo Cha, Dongjin Seo, Jongho Kim, Hunjong Lee, Jinwon Lee, Joo-Young Kim
2025 J jnl
Hawkeye: A Point Cloud Neural Network Processor With Virtual Pillar and Quadtree-Based Workload Management for Real-Time Outdoor BEV Detection.
IEEE J. Solid State Circuits
Sukbin Lim, Jaehoon Heo, Jinho Yang, Joo-Young Kim
2024 — conf
A 38.5TOPS/W Point Cloud Neural Network Processor with Virtual Pillar and Quadtree-based Workload Management for Real-Time Outdoor BEV Detection.
CICC
Sukbin Lim, Jaehoon Heo, Jinho Yang, Joo-Young Kim
2024 J jnl
A Latency Processing Unit: A Latency-Optimized and Highly Scalable Processor for Large Language Model Inference.
IEEE Micro
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
2024 B conf
ACane: An Efficient FPGA-based Embedded Vision Platform with Accumulation-as-Convolution Packing for Autonomous Mobile Robots.
ASPDAC
Jinho Yang, Sungwoong Yune, Sukbin Lim, Donghyuk Kim, Joo-Young Kim
2024 J jnl
LPU: A Latency-Optimized and Highly Scalable Processor for Large Language Model Inference.
CoRR
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
2023 — conf
JNPU: A 1.04TFLOPS Joint-DNN Training Processor with Speculative Cyclic Quantization and Triple Heterogeneity on Microarchitecture / Precision / Dataflow.
ESSCIRC
Je Yang, Sukbin Lim, Sukjin Lee, Jae-Young Kim, Joo-Young Kim
2023 J jnl
T-PIM: An Energy-Efficient Processing-in-Memory Accelerator for End-to-End On-Device Training.
IEEE J. Solid State Circuits
Jaehoon Heo, Junsoo Kim, Sukbin Lim, Wontak Han, Joo-Young Kim
2022 J jnl
Design of Processing-in-Memory With Triple Computational Path and Sparsity Handling for Energy-Efficient DNN Training.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Wontak Han, Jaehoon Heo, Junsoo Kim, Sukbin Lim, Joo-Young Kim
2022 — conf
T-PIM: A 2.21-to-161.08TOPS/W Processing-In-Memory Accelerator for End-to-End On-Device Training.
CICC
Jaehoon Heo, Junsoo Kim, Wontak Han, Sukbin Lim, Joo-Young Kim
2022 J jnl
Unsupervised learning for robust working memory.
PLoS Comput. Biol.
Jintao Gu, Sukbin Lim
2012 J jnl
Noise Tolerance of Attractor and Feedforward Memory Models.
Neural Comput.
Sukbin Lim, Mark S. Goldman
2010 J jnl
Noise-induced transitions in slow wave neuronal dynamics.
J. Comput. Neurosci.
Sukbin Lim, John Rinzel