Trinity: End-to-End In-Database Near-Data Machine Learning Acceleration Platform for Advanced Data Analytics
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Kim, Ji-Hoon | ko |
| dc.contributor.author | Han, Seunghee | ko |
| dc.contributor.author | Park, Kwanghyun | ko |
| dc.contributor.author | Ji, Soo-Young | ko |
| dc.contributor.author | Kim, Joo-Young | ko |
| dc.date.accessioned | 2022-11-29T02:00:52Z | - |
| dc.date.available | 2022-11-29T02:00:52Z | - |
| dc.date.created | 2022-11-27 | - |
| dc.date.issued | 2022-08-22 | - |
| dc.identifier.citation | 2022 IEEE Hot Chips 34 Symposium, HCS 2022 | - |
| dc.identifier.uri | http://hdl.handle.net/10203/301197 | - |
| dc.language | English | - |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
| dc.title | Trinity: End-to-End In-Database Near-Data Machine Learning Acceleration Platform for Advanced Data Analytics | - |
| dc.type | Conference | - |
| dc.identifier.scopusid | 2-s2.0-85140989710 | - |
| dc.type.rims | CONF | - |
| dc.citation.publicationname | 2022 IEEE Hot Chips 34 Symposium, HCS 2022 | - |
| dc.identifier.conferencecountry | US | - |
| dc.identifier.conferencelocation | Cupertino | - |
| dc.identifier.doi | 10.1109/HCS55958.2022.9895601 | - |
| dc.contributor.localauthor | Kim, Joo-Young | - |
| dc.contributor.nonIdAuthor | Kim, Ji-Hoon | - |
| dc.contributor.nonIdAuthor | Han, Seunghee | - |
| dc.contributor.nonIdAuthor | Park, Kwanghyun | - |
| dc.contributor.nonIdAuthor | Ji, Soo-Young | - |
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