Showing results 1 to 8 of 8
A Case for Two-stage Inference with Knowledge Caching Park, Geonha; Park, Kyoung-Soo; Hwang, Changho, The 3rd International Workshop on Deep Learning for Mobile Systems and Applications (EMDL 2019), ACM SIGMOBILE, 2019-06-19 |
APUNet: Revitalizing GPU as Packet Processing Accelerator Go, Younghwan; Jamshed, Muhammad Asim; Moon, Younggyoun; Hwang, Changho; Park, Kyoung-Soo, 14th USENIX Symposium on Networked Systems Design and Implementation (NSDI), pp.83 - 96, USENIX Association, 2017-03-27 |
ARK: GPU-driven Code Execution for Distributed Deep Learning Hwang, Changho; Park, KyoungSoo; Shu, Ran; Qu, Xinyuan; Cheng, Peng; Xiong, Yongqiang, 20th USENIX Symposium on Networked Systems Design and Implementation, NSDI 2023, pp.87 - 101, USENIX Association, 2023-04-17 |
Confident Multiple Choice Learning Lee, Kimin; Hwang, Changho; Park, Kyoung-Soo; Shin, Jinwoo, 34th International Conference on Machine Learning, International Machine Learning Society (IMLS), 2017-08-08 |
Efficient GPU resource scheduler for accelerating artificial intelligence applications = 인공지능 애플리케이션 가속을 위한 효율적인 GPU 자원 스케줄러link Hwang, Changho, 한국과학기술원, 2022 |
Efficient Resource Sharing for Distributed Deep Learning Hwang, Changho; Park, Kyoung-Soo; Kim, Taehyun; Son, Kyuho; Shin, Jinwoo, USENIX Symposium on Operating Systems Design and Implementation (OSDI), USENIX, 2018-10-08 |
Elastic Resource Sharing for Distributed Deep Learning Hwang, Changho; Kim, Taehyun; Kim, Sunghyun; Shin, Jinwoo; Park, KyoungSoo, 18th USENIX Symposium on Networked Systems Design and Implementation, pp.721 - 740, USENIX ASSOC, 2021-04 |
Towards GPU-driven Code Execution for Distributed Deep Learning Hwang, Changho; Park, Kyoung-Soo; Shu, Ran; Qu, Xinyuan; Cheng, Peng; Xiong, Yongqiang, Machine Learning for Computer Architectgure and Systems (MLArchSys'22), ACM/IEEE, 2022-06-19 |
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