While green software is a popular topic in computer science nowadays, the average programmer still has little options for analysis of the energy-efficiency of his/her software. Analysis is mostly done dynamically, for which a complex measurement set-up is needed. Using a static analysis which predicts the energy-consumption, would be more accessible and more cost-effective.This paper presents ECALOGIC 1 , a tool that implements a static analysis that can bound the energy consumption of algorithms. The tool is parametric with respect to a set of hardware component models. Its results are symbolic over the program parameters.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.