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Youngeun Kwon
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2020 – today
- 2024
- [c8]Juntaek Lim
, Youngeun Kwon
LazyDP: Co-Designing Algorithm-Software for Scalable Training of Differentially Private Recommendation Models. ASPLOS (2) 2024: 616-630 - [i7]Juntaek Lim, Youngeun Kwon, Ranggi Hwang, Kiwan Maeng, G. Edward Suh, Minsoo Rhu:
LazyDP: Co-Designing Algorithm-Software for Scalable Training of Differentially Private Recommendation Models. CoRR abs/2404.08847 (2024) - 2023
- [j7]Louis Colson
Trends in Single-Molecule Total Internal Reflection Fluorescence Imaging and Their Biological Applications with Lab-on-a-Chip Technology. Sensors 23(18): 7691 (2023) - 2022
- [c7]Youngeun Kwon, Minsoo Rhu:
Training personalized recommendation systems from (GPU) scratch: look forward not backwards. ISCA 2022: 860-873 - [i6]Youngeun Kwon, Minsoo Rhu:
Training Personalized Recommendation Systems from (GPU) Scratch: Look Forward not Backwards. CoRR abs/2205.04702 (2022) - 2021
- [j6]Yunjae Lee
Understanding the Implication of Non-Volatile Memory for Large-Scale Graph Neural Network Training. IEEE Comput. Archit. Lett. 20(2): 118-121 (2021) - [c6]Youngeun Kwon
Tensor Casting: Co-Designing Algorithm-Architecture for Personalized Recommendation Training. HPCA 2021: 235-248 - 2020
- [j5]Seungjun Lee
Applications of Converged Various Forces for Detection of Biomolecules and Novelty of Dielectrophoretic Force in the Applications. Sensors 20(11): 3242 (2020) - [c5]Bongjoon Hyun, Youngeun Kwon, Yujeong Choi, John Kim
NeuMMU: Architectural Support for Efficient Address Translations in Neural Processing Units. ASPLOS 2020: 1109-1124 - [c4]Ranggi Hwang, Taehun Kim, Youngeun Kwon
Centaur: A Chiplet-based, Hybrid Sparse-Dense Accelerator for Personalized Recommendations. ISCA 2020: 968-981 - [i5]Ranggi Hwang, Taehun Kim, Youngeun Kwon, Minsoo Rhu:
Centaur: A Chiplet-based, Hybrid Sparse-Dense Accelerator for Personalized Recommendations. CoRR abs/2005.05968 (2020) - [i4]Youngeun Kwon, Yunjae Lee, Minsoo Rhu:
Tensor Casting: Co-Designing Algorithm-Architecture for Personalized Recommendation Training. CoRR abs/2010.13100 (2020)
2010 – 2019
- 2019
- [j4]Youngeun Kwon
A Disaggregated Memory System for Deep Learning. IEEE Micro 39(5): 82-90 (2019) - [j3]Jeahee Ryu, Soyoun Kim, Jaeseung Song
Fabrication of Microarrays for the Analysis of Serological Antibody Isotypes against Food Antigens. Sensors 19(18): 3893 (2019) - [c3]Youngeun Kwon
TensorDIMM: A Practical Near-Memory Processing Architecture for Embeddings and Tensor Operations in Deep Learning. MICRO 2019: 740-753 - [i3]Youngeun Kwon, Minsoo Rhu:
Beyond the Memory Wall: A Case for Memory-centric HPC System for Deep Learning. CoRR abs/1902.06468 (2019) - [i2]Youngeun Kwon, Yunjae Lee, Minsoo Rhu:
TensorDIMM: A Practical Near-Memory Processing Architecture for Embeddings and Tensor Operations in Deep Learning. CoRR abs/1908.03072 (2019) - [i1]Bongjoon Hyun, Youngeun Kwon, Yujeong Choi, John Kim, Minsoo Rhu:
NeuMMU: Architectural Support for Efficient Address Translations in Neural Processing Units. CoRR abs/1911.06859 (2019) - 2018
- [j2]Youngeun Kwon
A Case for Memory-Centric HPC System Architecture for Training Deep Neural Networks. IEEE Comput. Archit. Lett. 17(2): 134-138 (2018) - [j1]Euiyeon Lee, Hyunjin Jeon, Chungwon Kang
Detection of Metallothionein in Javanese Medaka (Oryzias javanicus), Using a scFv-Immobilized Protein Chip. Sensors 18(4): 1069 (2018) - [c2]Minsoo Rhu, Mike O'Connor
Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks. HPCA 2018: 78-91 - [c1]Youngeun Kwon
Beyond the Memory Wall: A Case for Memory-Centric HPC System for Deep Learning. MICRO 2018: 148-161
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