EdgeOptimizer: A programmable containerized scheduler of time-critical tasks in Kubernetes-based edge-cloud clusters
Edge computing has garnered significant attention in recent years, leading to the evolution
of more delay-sensitive applications towards a three-tier architecture with edge-cloud …
of more delay-sensitive applications towards a three-tier architecture with edge-cloud …
CRIMP: C ompact & R eliable DNN Inference on I nM emory P rocessing via Crossbar-Aligned Compression and Non-ideality Adaptation
Crossbar-based In-Memory Processing (IMP) accelerators have been widely adopted to
achieve high-speed and low-power computing, especially for deep neural network (DNN) …
achieve high-speed and low-power computing, especially for deep neural network (DNN) …
TinyCL: An Efficient Hardware Architecture for Continual Learning on Autonomous Systems
The Continuous Learning (CL) paradigm consists of continuously evolving the parameters of
the Deep Neural Network (DNN) model to progressively learn to perform new tasks without …
the Deep Neural Network (DNN) model to progressively learn to perform new tasks without …
EvoLP: Self-Evolving Latency Predictor for Model Compression in Real-Time Edge Systems
S Huai, H Kong, S Li, X Luo… - IEEE Embedded …, 2023 - ieeexplore.ieee.org
Edge devices are increasingly utilized for deploying deep learning applications on
embedded systems. The real-time nature of many applications and the limited resources of …
embedded systems. The real-time nature of many applications and the limited resources of …
Resource Management in Edge Clouds: Latency-Aware Approaches for Big Data Analysis
The growing demand for time-sensitive services has led to the necessity for effective
resource management strategies in edge clouds. These strategies are tailored to handle …
resource management strategies in edge clouds. These strategies are tailored to handle …
IoT-based Real-time Passenger Safety System with Machine Vision at the Edge (Mez) Technology.
AA Alawad, MT Chughtai - Przeglad Elektrotechniczny, 2023 - search.ebscohost.com
Passenger safety is a critical issue in the transportation industry. There is an additional
concern for children's safety with other regular issues. And that is the risk of having accidents …
concern for children's safety with other regular issues. And that is the risk of having accidents …
Enabling efficient edge intelligence: a hardware-software codesign approach
S Huai - 2023 - dr.ntu.edu.sg
Deep Neural Networks (DNNs) have made significant advancements in various domains,
including computer vision (CV), natural language processing (NLP), etc. With the Internet of …
including computer vision (CV), natural language processing (NLP), etc. With the Internet of …