Youngeun Kwon

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 22

Top Topics

Neural Network Training

Personalized Recommendation

Confocal Microscopy

Top Venues

IEEE Comput. Archit. Lett.

Publications

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. ASPLOS (2) (2024)
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 (2024)
Louis Colson, Youngeun Kwon, Soobin Nam, Avinashi Bhandari, Nolberto Martinez Maya, Ying Lu, Yongmin Cho
Trends in Single-Molecule Total Internal Reflection Fluorescence Imaging and Their Biological Applications with Lab-on-a-Chip Technology. Sensors 23 (18) (2023)
Youngeun Kwon, Minsoo Rhu
Training Personalized Recommendation Systems from (GPU) Scratch: Look Forward not Backwards. CoRR (2022)
Youngeun Kwon, Minsoo Rhu
Training personalized recommendation systems from (GPU) scratch: look forward not backwards. ISCA (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)
Seungjun Lee, Seong Min Roh, Eunji Lee, Yejin Park, Byung Chul Lee, Youngeun Kwon, Hye Jin Kim, Jinsik Kim
Applications of Converged Various Forces for Detection of Biomolecules and Novelty of Dielectrophoretic Force in the Applications. Sensors 20 (11) (2020)
Bongjoon Hyun, Youngeun Kwon, Yujeong Choi, John Kim, Minsoo Rhu
NeuMMU: Architectural Support for Efficient Address Translations in Neural Processing Units. ASPLOS (2020)
Youngeun Kwon, Yunjae Lee, Minsoo Rhu
Tensor Casting: Co-Designing Algorithm-Architecture for Personalized Recommendation Training. CoRR (2020)
Ranggi Hwang, Taehun Kim, Youngeun Kwon, Minsoo Rhu
Centaur: A Chiplet-based, Hybrid Sparse-Dense Accelerator for Personalized Recommendations. ISCA (2020)
Ranggi Hwang, Taehun Kim, Youngeun Kwon, Minsoo Rhu
Centaur: A Chiplet-based, Hybrid Sparse-Dense Accelerator for Personalized Recommendations. CoRR (2020)
Youngeun Kwon, Minsoo Rhu
A Disaggregated Memory System for Deep Learning. IEEE Micro 39 (5) (2019)
Youngeun Kwon, Yunjae Lee, Minsoo Rhu
TensorDIMM: A Practical Near-Memory Processing Architecture for Embeddings and Tensor Operations in Deep Learning. MICRO (2019)
Bongjoon Hyun, Youngeun Kwon, Yujeong Choi, John Kim, Minsoo Rhu
NeuMMU: Architectural Support for Efficient Address Translations in Neural Processing Units. CoRR (2019)
Youngeun Kwon, Yunjae Lee, Minsoo Rhu
TensorDIMM: A Practical Near-Memory Processing Architecture for Embeddings and Tensor Operations in Deep Learning. CoRR (2019)
Jeahee Ryu, Soyoun Kim, Jaeseung Song, Daeun Kim, Narae Keum, Wonhee Jang, Hyosang Bae, Youngeun Kwon
Fabrication of Microarrays for the Analysis of Serological Antibody Isotypes against Food Antigens. Sensors 19 (18) (2019)
Youngeun Kwon, Minsoo Rhu
Beyond the Memory Wall: A Case for Memory-centric HPC System for Deep Learning. CoRR (2019)
Euiyeon Lee, Hyunjin Jeon, Chungwon Kang, Seonock Woo, Seungshic Yum, Youngeun Kwon
), Using a scFv-Immobilized Protein Chip. Sensors 18 (4) (2018)
Youngeun Kwon, Minsoo Rhu
Beyond the Memory Wall: A Case for Memory-Centric HPC System for Deep Learning. MICRO (2018)
Youngeun Kwon, Minsoo Rhu
A Case for Memory-Centric HPC System Architecture for Training Deep Neural Networks. IEEE Comput. Archit. Lett. 17 (2) (2018)
Minsoo Rhu, Mike O'Connor, Niladrish Chatterjee, Jeff Pool, Youngeun Kwon, Stephen W. Keckler
Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks. HPCA (2018)