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Reducing Energy Consumption for Machine Learning Inference on Edge Devices using C++20 Coroutines
https://dl.acm.org/doi/10.1145/3821577

https://redd.it/1ugw7nn
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ACM Transactions on Embedded Computing Systems Reducing Energy Consumption for Machine Learning Inference on Edge Devices using C++20 Coroutines | ACM Transactions on Embedded… Increasingly, machine learning inference is implemented on relatively low-powered edge devices, where battery life is a key performance criterion. In this work, we demonstrate how C++20 coroutines can be used to reorganise the execution order of an ...
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