PartitionTuner: An operator scheduler for deep-learning compilers supporting multiple heterogeneous processing units
Recently, embedded systems, such as mobile platforms, have multiple proces sing units that can operate in parallel, such as centralized processing units (CPUs) and neural processing units (NPUs). We can use deep-learning compilers to generate machine code optimized for these embedded systems from a...
| Auteurs principaux: | , , , , , |
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| Format: | Article |
| Langue: | English |
| Publié: |
Electronics and Telecommunications Research Institute (ETRI)
2023-04-01
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| Collection: | ETRI Journal |
| Sujets: | |
| Accès en ligne: | https://doi.org/10.4218/etrij.2021-0446 |