no code implementations • 11 Dec 2023 • Jingran Shen, Nikos Tziritas, Georgios Theodoropoulos
In this paper, a deep learning module inference latency prediction framework is proposed, which i) hosts a set of customizable input parameters to train multiple different RMs per DNN module (e. g., convolutional layer) with self-generated datasets, and ii) automatically selects a set of trained RMs leading to the highest possible overall prediction accuracy, while keeping the prediction time / space consumption as low as possible.
1 code implementation • 11 Jul 2022 • Jingran Shen, Nikos Tziritas, Georgios Theodoropoulos
Ridesharing has received global popularity due to its convenience and cost efficiency for both drivers and passengers and its strong potential to contribute to the implementation of the UN Sustainable Development Goals.
