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Showing results 1 to 16 of 16

Issue Date	Title / Author(s) / Citation	File	Altmetrics
2006-12	Intellectual Property Regimes, Innovative Capabilities, and Patenting in Korea Song, Jaeyong Seoul Journal of Business, Vol.12 No.2, pp. 57-75	view file
2008-12	Tapping a Foreign Subsidiarys Competence: An Empirical Test of Subsidiaries of Multinational Corporations in South Korea Miao, Yuzhe; Choe, Soonkyoo; Song, Jaeyong Seoul Journal of Business, Vol.14 No.2, pp. 109-134	view file
2014-12	Search Behavior and Catch-up of Firms in Emerging Markets Miao, Yuzhe; Song, Jaeyong Seoul Journal of Business, Vol.20 No.2, pp. 71-90	view file
2016-08	Dynamic capabilities at Samsung: Optimizing internal co-opetition Song, Jaeyong; Lee, Kyungmook; Khanna, Tarun California Management Review, Vol.58 No.4, pp.118-140	DOI
2016-12	Dynamic Capabilities at Samsung Song, Jaeyong; Lee, Kyungmook; Khanna, Tarun CALIFORNIA MANAGEMENT REVIEW, Vol.58 No.4, pp. 118-140
2021-07	Making a Better Use of Caches for GCN Accelerators with Feature Slicing and Automatic Tile Morphing Yoo, Mingi; Song, Jaeyong; Lee, Jounghoo; Kim, Namhyung; Kim, Youngsok; Lee, Jinho IEEE COMPUTER ARCHITECTURE LETTERS, Vol.20 No.2, pp.102-105	DOI
2022-01	Heterogeneity of optimal balance between exploration and exploitation:the moderating roles of firm technological capability and industry alliance network position Seo, Eunkwang; Song, Jaeyong; Jin, Chuyue Industry and Innovation	DOI
2022-10	Slice-and-Forge: Making Beter Use of Caches for Graph Convolutional Network Accelerators Yoo, Mingi; Song, Jaeyong; Lee, Hyeyoon; Lee, Jounghoo; Kim, Namhyung; Kim, Youngsok; Lee, Jinho Parallel Architectures and Compilation Techniques - Conference Proceedings, PACT, pp.40-53	DOI
2023	SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators Yoo, Mingi; Song, Jaeyong; Lee, Jounghoo; Kim, Namhyung; Kim, Youngsok; Lee, Jinho IEEE High-Performance Computer Architecture Symposium Proceedings, Vol.2023-February, pp.1-14	DOI
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	AGAThA: Fast and Efficient GPU Acceleration of Guided Sequence Alignment for Long Read Mapping Park, Seongyeon; Hong, Junguk; Song, Jaeyong; Kim, Hajin; Kim, Youngsok; Lee, Jinho Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP, pp.431-444	DOI
2024-01	A Case for In-Memory Random Scatter-Gather for Fast Graph Processing Shin, Changmin; Kwon, Taehee; Song, Jaeyong; Ju, Jae Hyung; Liu, Frank; Choi, Yeonkyu; Lee, Jinho IEEE Computer Architecture Letters, Vol.23 No.1, pp.73-77	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

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