Yunjae Lee

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Data Preprocessing

Top Venues

IEEE Comput. Archit. Lett.

Publications

Yunjae Lee, Hyeseong Kim, Minsoo Rhu
PreSto: An In-Storage Data Preprocessing System for Training Recommendation Models. CoRR (2024)
Hyeseong Kim, Yunjae Lee, Minsoo Rhu
FPGA-Accelerated Data Preprocessing for Personalized Recommendation Systems. IEEE Comput. Archit. Lett. 23 (1) (2024)
Yunjae Lee, Hyeseong Kim, Minsoo Rhu
PreSto: An In-Storage Data Preprocessing System for Training Recommendation Models. ISCA (2024)
Yunjae Lee, Heon Y. Yeom, Hyuck Han
APR: adaptive page replacement scheme for scientific applications. Clust. Comput. 26 (5) (2023)
Yunjae Lee, Jinha Chung, Minsoo Rhu
SmartSAGE: training large-scale graph neural networks using in-storage processing architectures. ISCA (2022)
Yunjae Lee, Jinha Chung, Minsoo Rhu
SmartSAGE: Training Large-scale Graph Neural Networks using In-Storage Processing Architectures. CoRR (2022)
Yunjae Lee, Youngeun Kwon, Minsoo Rhu
Understanding the Implication of Non-Volatile Memory for Large-Scale Graph Neural Network Training. IEEE Comput. Archit. Lett. 20 (2) (2021)
Youngeun Kwon, Yunjae Lee, Minsoo Rhu
Tensor Casting: Co-Designing Algorithm-Architecture for Personalized Recommendation Training. HPCA (2021)
Kihyeon Myung, Hwajung Kim, Yunjae Lee, Heon Young Yeom
Competition-Based Adaptive Caching for Out-of-core Graph Processing. CCGRID (2021)
Yunjae Lee, Heon Y. Yeom, Hyuck Han
An adaptive page replacement scheme for scientific applications. ACSOS Companion (2020)
Youngeun Kwon, Yunjae Lee, Minsoo Rhu
Tensor Casting: Co-Designing Algorithm-Architecture for Personalized Recommendation Training. CoRR (2020)
Yunjae Lee, Yoonhee Kim, Heon Y. Yeom
Lightweight memory tracing for hot data identification. Clust. Comput. 23 (3) (2020)
Jiwoong Park, Yunjae Lee, Heon Young Yeom, Yongseok Son
Memory efficient fork-based checkpointing mechanism for in-memory database systems. SAC (2020)
Youngeun Kwon, Yunjae Lee, Minsoo Rhu
TensorDIMM: A Practical Near-Memory Processing Architecture for Embeddings and Tensor Operations in Deep Learning. MICRO (2019)
Seongjae Park, Yunjae Lee, Yoonhee Kim, Heon Y. Yeom
Profiling Dynamic Data Access Patterns with Bounded Overhead and Accuracy. FAS*W@SASO/ICAC (2019)
Youngeun Kwon, Yunjae Lee, Minsoo Rhu
TensorDIMM: A Practical Near-Memory Processing Architecture for Embeddings and Tensor Operations in Deep Learning. CoRR (2019)
Seongjae Park, Yunjae Lee, Heon Y. Yeom
Profiling Dynamic Data Access Patterns with Controlled Overhead and Quality. Middleware Industry (2019)
Seongjae Park, Yunjae Lee, Moonsub Kim, Heon Y. Yeom
Automating Context-Based Access Pattern Hint Injection for System Performance and Swap Storage Durability. HotStorage (2019)