Autonomous Design Space Exploration of Computing Systems for Sustainability: Opportunities and Challenges

Editor's note: Data-driven design methods are a promising way to design computing systems at various scales. This article presents a survey regarding data-driven techniques to design sustainable computing systems. - Partha Pratim Pande, Washington State University

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Published in:IEEE design and test 2019-10, Vol.36 (5), p.35-43
Main Authors: Doppa, Janardhan Rao, Rosca, Justinian, Bogdan, Paul
Format: Magazinearticle
Language:English
Subjects:
Adaptation models
and Data science
Computation
Computing systems
Cyber-physical systems
Data science
Design space exploration and optimization
Dynamic resource management
Dynamic scheduling
Hardware and software co-design
Hardware design languages
Machine learning
Optimization
Resource management
Sustainability
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description Editor's note: Data-driven design methods are a promising way to design computing systems at various scales. This article presents a survey regarding data-driven techniques to design sustainable computing systems. - Partha Pratim Pande, Washington State University
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subjects Adaptation models
and Data science
Computation
Computing systems
Cyber-physical systems
Data science
Design space exploration and optimization
Dynamic resource management
Dynamic scheduling
Hardware and software co-design
Hardware design languages
Machine learning
Optimization
Resource management
Sustainability
title Autonomous Design Space Exploration of Computing Systems for Sustainability: Opportunities and Challenges
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