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Deep Neural Networks are becoming increasingly popular in always-on IoT edgedevices performing data analytics right at the source, reducing latency as wellas energy consumption for data communication. This paper presents CMSIS-NN,efficient kernels developed to maximize the performance and minimize the memoryfootprint of neural network (NN) applications on Arm Cortex-M processorstargeted for intelligent IoT edge devices. Neural network inference based onCMSIS-NN kernels achieves 4.6X improvement in runtime/throughput and 4.9Ximprovement in energy efficiency.

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