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Found 4 papers, 1 papers with code
Online Service Migration in Mobile Edge with Incomplete System Information: A Deep Recurrent Actor-Critic Learning Approach
To address these challenges, we propose a novel learning-driven method, which is user-centric and can make effective online migration decisions by utilizing incomplete system-level information.
Towards Accurate Prediction for High-Dimensional and Highly-Variable Cloud Workloads with Deep Learning
Resource provisioning for cloud computing necessitates the adaptive and accurate prediction of cloud workloads.
A Winograd-based Integrated Photonics Accelerator for Convolutional Neural Networks
Among different types of neural networks, convolutional neural networks (CNNs) have been widely adopted as they have achieved leading results in many fields such as computer vision and speech recognition.
PCNNA: A Photonic Convolutional Neural Network Accelerator
Convolutional Neural Networks (CNN) have been the centerpiece of many applications including but not limited to computer vision, speech processing, and Natural Language Processing (NLP).
