@inproceedings{a4edf14626544577ab43589d578ea220,
title = "Energy-aware instruction scheduling",
abstract = "Energy consumption is increasingly becoming an important metric in designing computing systems. This paper focuses on instruction scheduling algorithms to reduce energy. Our experimentation shows that the best scheduling from the performance perspective is not necessarily the best scheduling from the energy perspective. Further, scheduling techniques that consider both energy and performance simultaneously are found to be desirable. We also validate the energy estimates of the instruction schedules obtained using the energy transition cost tables by executing the instructions on a cycle-accurate energy simulator. We conclude the paper with a discussion of alternate ways of building energy transition tables and estimating absolute energy consumption.",
author = "A. Parikh and M. Kandemir and N. Vijaykrishnan and Irwin, {M. J.}",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2000.; 7th International Conference on High Performance Computing, HiPC 2000 ; Conference date: 17-12-2000 Through 20-12-2000",
year = "2000",
doi = "10.1007/3-540-44467-x_30",
language = "English (US)",
isbn = "3540414290",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "335--344",
editor = "Mateo Valero and Prasanna, {Viktor K.} and Sriram Vajapeyam",
booktitle = "High Performance Computing - HiPC 2000 - 7th International Conference, Proceedings",
address = "Germany",
}