Combining Neural Architecture Search and Automatic Code Optimization: A Survey
Deep Learning models have experienced exponential growth in complexity and resource demands in recent years. Accelerating these models for efficient execution on resource-constrained devices has become more crucial than ever. Two notable techniques employed to achieve this goal are Hardware-aware Ne...
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Veröffentlicht in: | arXiv.org 2024-08 |
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Sprache: | eng |
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