A comprehensive review of green computing: Past, present, and future research
Green computing, also called sustainable computing, is the process of developing and
optimizing computer chips, systems, networks, and software in such a manner that can …
optimizing computer chips, systems, networks, and software in such a manner that can …
Approximate computing and the efficient machine learning expedition
Approximate computing (AxC) has been long accepted as a design alternative for efficient
system implementation at the cost of relaxed accuracy requirements. Despite the AxC …
system implementation at the cost of relaxed accuracy requirements. Despite the AxC …
On the Efficacy and Vulnerabilities of Logic Locking in Tree-Based Machine Learning
The popularity and widespread usage of machine learning (ML) hardware have created
challenges for its intellectual property (IP) protection. Logic locking is a widely used …
challenges for its intellectual property (IP) protection. Logic locking is a widely used …
Evolutionary Approximation of Ternary Neurons for On-sensor Printed Neural Networks
V Mrazek, A Kokkinis, P Papanikolaou… - arXiv preprint arXiv …, 2024 - arxiv.org
Printed electronics offer ultra-low manufacturing costs and the potential for on-demand
fabrication of flexible hardware. However, significant intrinsic constraints stemming from their …
fabrication of flexible hardware. However, significant intrinsic constraints stemming from their …
Bespoke Approximation of Multiplication-Accumulation and Activation Targeting Printed Multilayer Perceptrons
Printed Electronics (PE) feature distinct and remarkable characteristics that make them a
prominent technology for achieving true ubiquitous computing. This is particularly relevant in …
prominent technology for achieving true ubiquitous computing. This is particularly relevant in …
On-Sensor Printed Machine Learning Classification via Bespoke ADC and Decision Tree Co-Design
Printed electronics (PE) technology provides cost-effective hardware with unmet
customization, due to their low non-recurring engineering and fabrication costs. PE exhibit …
customization, due to their low non-recurring engineering and fabrication costs. PE exhibit …
Hardware–Software Co-design for Ultra-Resource-Constrained Embedded Machine Learning Inference: A Printed Electronics Use Case
In this chapter, we discuss hardware–software co-design approaches that enable machine
learning inference on ultra-resource-constrained embedded systems. As our use case, we …
learning inference on ultra-resource-constrained embedded systems. As our use case, we …
[PDF][PDF] A Comprehensive Review of Green Computing: Past, Present, and Future Research
SA ALOTAIBI, MALI MONI - academia.edu
Green computing, also called sustainable computing, is the process of developing and
optimizing computer chips, systems, networks, and software in such a manner that can …
optimizing computer chips, systems, networks, and software in such a manner that can …