no code implementations • 14 Sep 2018 • Diana Marculescu, Dimitrios Stamoulis, Ermao Cai
What is the latency or energy cost for an inference made by a Deep Neural Network (DNN)?
no code implementations • 6 Dec 2017 • Dimitrios Stamoulis, Ermao Cai, Da-Cheng Juan, Diana Marculescu
While selecting the hyper-parameters of Neural Networks (NNs) has been so far treated as an art, the emergence of more complex, deeper architectures poses increasingly more challenges to designers and Machine Learning (ML) practitioners, especially when power and memory constraints need to be considered.
2 code implementations • 15 Oct 2017 • Ermao Cai, Da-Cheng Juan, Dimitrios Stamoulis, Diana Marculescu
We also propose the "energy-precision ratio" (EPR) metric to guide machine learners in selecting an energy-efficient CNN architecture that better trades off the energy consumption and prediction accuracy.