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Showing results 1 to 6 of 6

Issue Date	Title / Author(s) / Citation	File	Altmetrics
2023	Pipe-BD: Pipelined Parallel Blockwise Distillation Jang, Hongsun; Jung, Jaewon; Song, Jaeyong; Yu, Joonsang; Kim, Youngsok; Lee, Jinho 2023 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION, DATE, Vol.2023-April	DOI
2023-01	Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware Communication Compression Song, Jaeyong; Yim, Jinkyu; Jung, Jaewon; Jang, Hongsun; Kim, Hyung-Jin; Kim, Youngsok; Lee, Jinho International Conference on Architectural Support for Programming Languages and Operating Systems - ASPLOS, Vol.2, pp.560-573	DOI
2023-07	Fast Adversarial Training with Dynamic Batch-level Attack Control Jung, Jaewon; Song, Jaeyong; Jang, Hongsun; Lee, Hyeyoon; Choi, Kanghyun; Park, Noseong; Lee, Jinho Proceedings - Design Automation Conference, Vol.2023-July	DOI
2024	Smart-Infinity: Fast Large Language Model Training using Near-Storage Processing on a Real System Jang, Hongsun; Song, Jaeyong; Jung, Jaewon; Park, Jaeyoung; Kim, Youngsok; Lee, Jinho Proceedings - International Symposium on High-Performance Computer Architecture, pp.345-360	DOI
2024-05	Pipette: Automatic Fine-Grained Large Language Model Training Configurator for Real-World Clusters Yim, Jinkyu; Song, Jaeyong; Choi, Yerim; Lee, Jaebeen; Jung, Jaewon; Jang, Hongsun; Lee, Jinho Proceedings -Design, Automation and Test in Europe, DATE
2024-06	PeerAiD: Improving Adversarial Distillation from a Specialized Peer Tutor Jung, Jaewon; Jang, Hongsun; Song, Jaeyong; Lee, Jinho Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.24482-24491	DOI

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