Youngeun Kwon

According to our database, Youngeun Kwon authored at least 15 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

LazyDP: Co-Designing Algorithm-Software for Scalable Training of Differentially Private Recommendation Models.

Juntaek Lim, Youngeun Kwon, Ranggi Hwang, Kiwan Maeng, G. Edward Suh, Minsoo Rhu

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

Trends in Single-Molecule Total Internal Reflection Fluorescence Imaging and Their Biological Applications with Lab-on-a-Chip Technology.

Louis Colson, Youngeun Kwon, Soobin Nam, Avinashi Bhandari, Nolberto Martinez Maya, Ying Lu, Yongmin Cho

Sensors, September, 2023

2022

Training personalized recommendation systems from (GPU) scratch: look forward not backwards.

Youngeun Kwon, Minsoo Rhu

Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022

2021

Understanding the Implication of Non-Volatile Memory for Large-Scale Graph Neural Network Training.

Yunjae Lee, Youngeun Kwon, Minsoo Rhu

IEEE Comput. Archit. Lett., 2021

Tensor Casting: Co-Designing Algorithm-Architecture for Personalized Recommendation Training.

Youngeun Kwon, Yunjae Lee, Minsoo Rhu

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2021

2020

Applications of Converged Various Forces for Detection of Biomolecules and Novelty of Dielectrophoretic Force in the Applications.

Seungjun Lee, Seong Min Roh, Eunji Lee, Yejin Park, Byung Chul Lee, Youngeun Kwon, Hye Jin Kim, Jinsik Kim

Sensors, 2020

Centaur: A Chiplet-based, Hybrid Sparse-Dense Accelerator for Personalized Recommendations.

Ranggi Hwang, Taehun Kim, Youngeun Kwon, Minsoo Rhu

Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

NeuMMU: Architectural Support for Efficient Address Translations in Neural Processing Units.

Bongjoon Hyun, Youngeun Kwon, Yujeong Choi, John Kim, Minsoo Rhu

Proceedings of the ASPLOS '20: Architectural Support for Programming Languages and Operating Systems, 2020

2019

Fabrication of Microarrays for the Analysis of Serological Antibody Isotypes against Food Antigens.

Jeahee Ryu, Soyoun Kim, Jaeseung Song, Daeun Kim, Narae Keum, Wonhee Jang, Hyosang Bae, Youngeun Kwon

Sensors, 2019

A Disaggregated Memory System for Deep Learning.

Youngeun Kwon, Minsoo Rhu

IEEE Micro, 2019

TensorDIMM: A Practical Near-Memory Processing Architecture for Embeddings and Tensor Operations in Deep Learning.

Youngeun Kwon, Yunjae Lee, Minsoo Rhu

Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, 2019

2018

Detection of Metallothionein in Javanese Medaka (<i>Oryzias javanicus</i>), Using a scFv-Immobilized Protein Chip.

Euiyeon Lee, Hyunjin Jeon, Chungwon Kang, Seonock Woo, Seungshic Yum, Youngeun Kwon

Sensors, 2018

A Case for Memory-Centric HPC System Architecture for Training Deep Neural Networks.

Youngeun Kwon, Minsoo Rhu

IEEE Comput. Archit. Lett., 2018

Beyond the Memory Wall: A Case for Memory-Centric HPC System for Deep Learning.

Youngeun Kwon, Minsoo Rhu

Proceedings of the 51st Annual IEEE/ACM International Symposium on Microarchitecture, 2018

Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks.

Minsoo Rhu, Mike O'Connor, Niladrish Chatterjee, Jeff Pool, Youngeun Kwon, Stephen W. Keckler

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2018