Yunjae Lee

25 papers A* 5A 1B 1Misc 1Journal 12Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Characterization of Generative Recommendation Models: Study of Hierarchical Sequential Transduction Unit.
IEEE Comput. Archit. Lett.
Taehun Kim, Yunjae Lee, Juntaek Lim, Minsoo Rhu
2025 J jnl
Characterization and Analysis of the 3D Gaussian Splatting Rendering Pipeline.
IEEE Comput. Archit. Lett.
Jiwon Lee, Yunjae Lee, Youngeun Kwon, Minsoo Rhu
2025 J jnl
Debunking the CUDA Myth Towards GPU-based AI Systems.
CoRR
Yunjae Lee, Juntaek Lim, Jehyeon Bang, Eunyeong Cho, Huijong Jeong, Taesu Kim, Hyungjun Kim, Joonhyung Lee, Jinseop Im, Ranggi Hwang, Se Jung Kwon, Dongsoo Lee, Minsoo Rhu
2025 A* conf
Debunking the CUDA Myth Towards GPU-based AI Systems: Evaluation of the Performance and Programmability of Intel's Gaudi NPU for AI Model Serving.
ISCA
Yunjae Lee, Juntaek Lim, Jehyeon Bang, Eunyeong Cho, Huijong Jeong, Taesu Kim, Hyungjun Kim, Joonhyung Lee, Jinseop Im, Ranggi Hwang, Se Jung Kwon, Dongsoo Lee, Minsoo Rhu
2025 A conf
Mamba-X: An End-to-End Vision Mamba Accelerator for Edge Computing Devices.
ICCAD
Dongho Yoon, Gungyu Lee, Jaewon Chang, Yunjae Lee, Dongjae Lee, Minsoo Rhu
2025 J jnl
Mamba-X: An End-to-End Vision Mamba Accelerator for Edge Computing Devices.
CoRR
Dongho Yoon, Gungyu Lee, Jaewon Chang, Yunjae Lee, Dongjae Lee, Minsoo Rhu
2024 — conf
Context Preserving Encryption by Latent Reconstruction.
ICPRAI (2)
Yunjae Lee
2024 J jnl
FPGA-Accelerated Data Preprocessing for Personalized Recommendation Systems.
IEEE Comput. Archit. Lett.
Hyeseong Kim, Yunjae Lee, Minsoo Rhu
2024 A* conf
PreSto: An In-Storage Data Preprocessing System for Training Recommendation Models.
ISCA
Yunjae Lee, Hyeseong Kim, Minsoo Rhu
2024 J jnl
PreSto: An In-Storage Data Preprocessing System for Training Recommendation Models.
CoRR
Yunjae Lee, Hyeseong Kim, Minsoo Rhu
2023 J jnl
APR: adaptive page replacement scheme for scientific applications.
Clust. Comput.
Yunjae Lee, Heon Y. Yeom, Hyuck Han
2022 J jnl
SmartSAGE: Training Large-scale Graph Neural Networks using In-Storage Processing Architectures.
CoRR
Yunjae Lee, Jinha Chung, Minsoo Rhu
2022 A* conf
SmartSAGE: training large-scale graph neural networks using in-storage processing architectures.
ISCA
Yunjae Lee, Jinha Chung, Minsoo Rhu
2021 B conf
Competition-Based Adaptive Caching for Out-of-core Graph Processing.
CCGRID
Kihyeon Myung, Hwajung Kim, Yunjae Lee, Heon Young Yeom
2021 A* conf
Tensor Casting: Co-Designing Algorithm-Architecture for Personalized Recommendation Training.
HPCA
Youngeun Kwon, Yunjae Lee, Minsoo Rhu
2021 J jnl
Understanding the Implication of Non-Volatile Memory for Large-Scale Graph Neural Network Training.
IEEE Comput. Archit. Lett.
Yunjae Lee, Youngeun Kwon, Minsoo Rhu
2020 — conf
An adaptive page replacement scheme for scientific applications.
ACSOS Companion
Yunjae Lee, Heon Y. Yeom, Hyuck Han
2020 J jnl
Lightweight memory tracing for hot data identification.
Clust. Comput.
Yunjae Lee, Yoonhee Kim, Heon Y. Yeom
2020 Misc conf
Memory efficient fork-based checkpointing mechanism for in-memory database systems.
SAC
Jiwoong Park, Yunjae Lee, Heon Young Yeom, Yongseok Son
2020 J jnl
Tensor Casting: Co-Designing Algorithm-Architecture for Personalized Recommendation Training.
CoRR
Youngeun Kwon, Yunjae Lee, Minsoo Rhu
2019 — conf
Automating Context-Based Access Pattern Hint Injection for System Performance and Swap Storage Durability.
HotStorage
Seongjae Park, Yunjae Lee, Moonsub Kim, Heon Y. Yeom
2019 — conf
Profiling Dynamic Data Access Patterns with Bounded Overhead and Accuracy.
FAS*W@SASO/ICAC
Seongjae Park, Yunjae Lee, Yoonhee Kim, Heon Y. Yeom
2019 — conf
Profiling Dynamic Data Access Patterns with Controlled Overhead and Quality.
Middleware Industry
Seongjae Park, Yunjae Lee, Heon Y. Yeom
2019 A* conf
TensorDIMM: A Practical Near-Memory Processing Architecture for Embeddings and Tensor Operations in Deep Learning.
MICRO
Youngeun Kwon, Yunjae Lee, Minsoo Rhu
2019 J jnl
TensorDIMM: A Practical Near-Memory Processing Architecture for Embeddings and Tensor Operations in Deep Learning.
CoRR
Youngeun Kwon, Yunjae Lee, Minsoo Rhu