Παρακολούθηση
Yunjae Lee
Yunjae Lee
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα kaist.ac.kr
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
Tensordimm: A practical near-memory processing architecture for embeddings and tensor operations in deep learning
Y Kwon, Y Lee, M Rhu
Proceedings of the 52nd Annual IEEE/ACM International Symposium on …, 2019
2482019
Tensor casting: Co-designing algorithm-architecture for personalized recommendation training
Y Kwon, Y Lee, M Rhu
2021 IEEE International Symposium on High-Performance Computer Architecture …, 2021
492021
Smartsage: training large-scale graph neural networks using in-storage processing architectures
Y Lee, J Chung, M Rhu
Proceedings of the 49th Annual International Symposium on Computer …, 2022
472022
Understanding the implication of non-volatile memory for large-scale graph neural network training
Y Lee, Y Kwon, M Rhu
IEEE Computer Architecture Letters 20 (2), 118-121, 2021
112021
PreSto: An In-Storage Data Preprocessing System for Training Recommendation Models
Y Lee, H Kim, M Rhu
2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture …, 2024
22024
FPGA-Accelerated Data Preprocessing for Personalized Recommendation Systems
H Kim, Y Lee, M Rhu
IEEE Computer Architecture Letters 23 (1), 13-16, 2023
22023
TensorDIMM
Y Kwon, Y Lee, M Rhu
Proceedings of the 52nd Annual IEEE/ACM International Symposium on …, 2019
22019
Neural network acceleration system and operating method thereof
M Rhu, Y Kwon, Y Lee
US Patent App. 16/922,333, 2021
12021
Debunking the CUDA Myth Towards GPU-based AI Systems
Y Lee, J Lim, J Bang, E Cho, H Jeong, T Kim, H Kim, J Lee, J Im, R Hwang, ...
arXiv preprint arXiv:2501.00210, 2024
2024
Characterization and Analysis of the 3D Gaussian Splatting Rendering Pipeline
J Lee, Y Lee, Y Kwon, M Rhu
IEEE Computer Architecture Letters, 2024
2024
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