Multi-tier GPU virtualization for deep learning in cloud-edge systems
Accelerator virtualization offers several advantages in the context of cloud-edge computing.
Relatively weak user devices can enhance performance when running workloads by …
Relatively weak user devices can enhance performance when running workloads by …
MPDM: A Multi-Paradigm Deployment Model for Large-Scale Edge-Cloud Intelligence
The development of cloud and edge computing has enabled the easy access of artificial
intelligence (AI) services for massive heterogeneous and resource-constrained devices …
intelligence (AI) services for massive heterogeneous and resource-constrained devices …
SPACE4AI-D: A Design-Time Tool for AI Applications Resource Selection in Computing Continua
H Sedghani, F Filippini… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Nowadays, Artificial Intelligence (AI) applications are becoming increasingly popular in a
wide range of industries, mainly thanks to Deep Neural Networks (DNNs) that needs …
wide range of industries, mainly thanks to Deep Neural Networks (DNNs) that needs …
Placement of DNN models on mobile edge devices for effective video analysis
The pervasive deployment of IoT devices along with the advancements in Deep Neural
Network (DNN) models have enabled video analytics at the edge, the so-called Edge AI …
Network (DNN) models have enabled video analytics at the edge, the so-called Edge AI …