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Showing results 1 to 5 of 5

Conference
A Diffusion-Based Framework for Configurable and Realistic Multi-Storage Trace Generation
  • Kim, Seohyun ; 
  • Lee, Junyoung ; 
  • Park, Jongho ; 
  • Koo, Jinhyung ; 
  • Lee, Sungjin ; 
  • Kim, Yeseong
  • 2025-05-20
  • Design Automation Conference, pp.1 - 2
  • ACM Special Interest Group on Design Automation (SIGDA), IEEE Council on Electronic Design Automation (CEDA)
  • View : 22
  • Download : 0
Article
Diffusion-Based Generative System Surrogates for Scalable Learning-Driven Optimization in Virtual Playgrounds
  • Lee, Junyoung ; 
  • Kim, Seohyun ; 
  • Jang, Shinhyoung ; 
  • Park, Jongho ; 
  • Kim, Yeseong
  • 2025-06
  • Proceedings of the ACM on Measurement and Analysis of Computing Systems, v.9, no.2, pp.43 - 45
  • Association for Computing Machinery
  • View : 250
  • Download : 0
Conference
Dynamically Scalable Pruning for Transformer-Based Large Language Models
  • 2025-04-02
  • Design Automation and Test in Europe Conference, pp.1 - 2
  • Institute of Electrical and Electronics Engineers Inc.
  • View : 267
  • Download : 0
Conference
QuiltNet: Efficient Deep Learning Inference on Multi-Chip Accelerators Using Model Partitioning
  • Park, Jongho ; 
  • Kwon, Hyuk-jun ; 
  • Kim, Seowoo ; 
  • Lee, Junyoung ; 
  • Ha, Minho ; 
  • Lim, Euicheol ; 
  • Imani, Mohsen ; 
  • Kim, Yeseong
  • 2022-07-14
  • Park, Jongho. (2022-07-14). QuiltNet: Efficient Deep Learning Inference on Multi-Chip Accelerators Using Model Partitioning. Design Automation Conference, 1159–1164. doi: 10.1145/3489517.3530589
  • Association for Computing Machinery
  • View : 159
  • Download : 0
Conference
Sidekick: Near Data Processing for Clustering Enhanced by Automatic Memory Disaggregation
  • Lee, Sanghoon ; 
  • Park, Jongho ; 
  • Ha, Minho ; 
  • Koh, Byung Il ; 
  • Park, Kyoung ; 
  • Kim, Yeseong
  • 2023-07-13
  • Lee, Sanghoon. (2023-07-13). Sidekick: Near Data Processing for Clustering Enhanced by Automatic Memory Disaggregation. Design Automation Conference. doi: 10.1109/DAC56929.2023.10247769
  • ACM Special Interest Group on Design Automation (SIGDA), IEEE Council on Electronic Design Automation (CEDA)
  • View : 145
  • Download : 0
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