DSpace at KOASAS: Trinity: End-to-End In-Database Near-Data Machine Learning Acceleration Platform for Advanced Data Analytics

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College of Engineering(공과대학)School of Electrical Engineering(전기및전자공학부)EE-Conference Papers(학술회의논문)

Trinity: End-to-End In-Database Near-Data Machine Learning Acceleration Platform for Advanced Data Analytics

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Kim, Ji-Hoon / Han, Seunghee / Park, Kwanghyun / Ji, Soo-Young / Kim, Joo-Young researcher

Publisher: Institute of Electrical and Electronics Engineers Inc.

Issue Date: 2022-08-22

Language: English

Citation: 2022 IEEE Hot Chips 34 Symposium, HCS 2022

DOI: 10.1109/HCS55958.2022.9895601

URI: http://hdl.handle.net/10203/301197

Appears in Collection: EE-Conference Papers(학술회의논문)

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