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About Deep Learning Inference On Mobile Devices: Deepx: A Software Accelerator For Low-Power
DeepX is a software accelerator that allows large-scale deep learning models to efficiently execute on mobile devices. It uses two algorithms: (1) Runtime Layer Compression decomposes models into blocks that heterogeneous mobile processors can efficiently execute, and compresses layers to reduce complexity; (2) Deep Architecture Decomposition further decomposes models across available processors to maximize efficiency within resource constraints. Experiments show DeepX outperforms existing solutions like cloud offloading by leveraging GPUs and other processors on mobile devices for deep learning inference. It is the first mobile deep learning accelerator that can optimize models without manual tuning.
Detailed Information
| Author: | ['Mewada Hiren'] |
|---|---|
| Publication Year: | 2022 |
| Pages: | 12 |
| Language: | English |
| Format: | |
| Price: | FREE |
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