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arxiv: 1801.06601 · v1 · submitted 2018-01-19 · 💻 cs.NE · cs.LG· cs.MS

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CMSIS-NN: Efficient Neural Network Kernels for Arm Cortex-M CPUs

Liangzhen Lai , Naveen Suda , Vikas Chandra
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classification 💻 cs.NE cs.LGcs.MS
keywords neuralcmsis-nnkernelsnetworkcortex-mdatadevicesedge
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Deep Neural Networks are becoming increasingly popular in always-on IoT edge devices performing data analytics right at the source, reducing latency as well as energy consumption for data communication. This paper presents CMSIS-NN, efficient kernels developed to maximize the performance and minimize the memory footprint of neural network (NN) applications on Arm Cortex-M processors targeted for intelligent IoT edge devices. Neural network inference based on CMSIS-NN kernels achieves 4.6X improvement in runtime/throughput and 4.9X improvement in energy efficiency.

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