Memory-aware Efficient Deep Learning Mechanism for IoT Devices

2021 IEEE 32nd International Conference on Application-specific Systems, Architectures and Processors (ASAP)(2021)

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Abstract
Deep learning neural networks are of critical importance to enable next-generation IoT devices. However, due to the limited computation power, memory space, and energy, it remains a grand challenge to deploy those algorithms on IoT devices efficiently as they demand high computation, energy, and memory footprint. Numerous pruning methods of deep learning algorithms have been proposed to minimize t...
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Key words
Deep learning,Performance evaluation,Embedded systems,Program processors,Nonvolatile memory,Memory management,Random access memory
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