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ECAlogic: hardware-parametric energy-consumption analysis of algorithms
| Content Provider | ACM Digital Library |
|---|---|
| Author | van Eekelen, Marko Schoolderman, Marc Neutelings, Jascha Kersten, Rody |
| Abstract | hile 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, 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. |
| Starting Page | 19 |
| Ending Page | 22 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781450327985 |
| DOI | 10.1145/2588548.2588553 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2014-04-22 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Energy-consumption Green computation Static analysis Green software Resource analysis |
| Content Type | Text |
| Resource Type | Article |