ASight : Fine-Tuning Auto-Scheduling Optimizations for Model Deployment via Visual Analytics
Upon completing the design and training phases, deploying a deep learning model to specific hardware becomes necessary prior to its implementation in practical applications. To enhance the performance of the model, the developers must optimize it to decrease inference latency. Auto-scheduling, an au...
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Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on visualization and computer graphics. - 1996. - 31(2025), 10 vom: 03. Sept., Seite 8637-8653
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| 1. Verfasser: |
Xie, Laixin
(VerfasserIn) |
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| Weitere Verfasser: |
Zhang, Chenyang,
Ma, Ruofei,
Xing, Xingxing,
Wan, Wei,
Li, Quan |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2025
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on visualization and computer graphics
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| Schlagworte: | Journal Article |
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