TASO: Time and Space Optimization for Memory-Constrained DNN Inference

21 May 2020Yuan WenAndrew AndersonValentin RaduMichael F. P. O'BoyleDavid Gregg

Convolutional neural networks (CNNs) are used in many embedded applications, from industrial robotics and automation systems to biometric identification on mobile devices. State-of-the-art classification is typically achieved by large networks, which are prohibitively expensive to run on mobile and embedded devices with tightly constrained memory and energy budgets... (read more)

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