Serving Heterogeneous Machine Learning Models on Multi-GPU Servers with Spatio-Temporal Sharing
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Choi, Seungbeom | ko |
| dc.contributor.author | Lee, Sunho | ko |
| dc.contributor.author | Kim, Yeonjae | ko |
| dc.contributor.author | PARK, JONGSE | ko |
| dc.contributor.author | Kwon, Youngjin | ko |
| dc.contributor.author | Huh, Jaehyuk | ko |
| dc.date.accessioned | 2022-11-02T07:02:14Z | - |
| dc.date.available | 2022-11-02T07:02:14Z | - |
| dc.date.created | 2022-11-02 | - |
| dc.date.created | 2022-11-02 | - |
| dc.date.issued | 2022-07-11 | - |
| dc.identifier.citation | 2022 USENIX Annual Technical Conference | - |
| dc.identifier.uri | http://hdl.handle.net/10203/299277 | - |
| dc.language | English | - |
| dc.publisher | USENIX (The Advanced Computing Systems Association) | - |
| dc.title | Serving Heterogeneous Machine Learning Models on Multi-GPU Servers with Spatio-Temporal Sharing | - |
| dc.type | Conference | - |
| dc.type.rims | CONF | - |
| dc.citation.publicationname | 2022 USENIX Annual Technical Conference | - |
| dc.identifier.conferencecountry | US | - |
| dc.identifier.conferencelocation | Carlsbad, CA | - |
| dc.contributor.localauthor | PARK, JONGSE | - |
| dc.contributor.localauthor | Kwon, Youngjin | - |
| dc.contributor.localauthor | Huh, Jaehyuk | - |
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