- author = "Jeremy Lacomis and Jonathan Dorn and Westley Weimer and Stephanie Forrest",
- title = "Automatically Reducing Energy Consumption of Software",
- booktitle = "The Energetics of Computing in Life and Machines",
- publisher = "The Santa Fe Institute Press",
- year = "2019",
- editor = "David H. Wolpert and Chris Kempes and Peter F. Stadler and Joshua A. Grochow",
- chapter = "10",
- pages = "263--284",
- address = "New Mexico, 87501, USA",
- keywords = "genetic algorithms, genetic programming, genetic improvement, SBSE, NSGA-II",
- isbn13 = "978-1-947864-07-8",
-
URL = "
https://www.cs.cmu.edu/~jlacomis/materials/LacomisAutomaticallyReducing2019.pdf",
-
URL = "
https://www.sfipress.org/books/energetics-of-computing-in-life-and-machines",
-
URL = "https://www.amazon.co.uk/Energetics-Computing-Life-Machines/dp/1947864076?asin=1947864076",
- size = "22 pages",
-
notes = "Energy Reduction using Genetic Improvement.
The PowerGAUGE Energy Reduction Algorithm https://dornja.github.io/
assembly language
https://download.blender.org/demo/test/AtvBuggy.zip
both effective and computationally inexpensive
Side-Channel Attack Mitigation
cites \cite{Linares-Vasquez:2015:FSE}
",
