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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Abrar, S.S. |
| Copyright Year | 2004 |
| Description | Author affiliation: Philips Semicond., Bangalore, India (Abrar, S.S.) |
| Abstract | The available techniques for embedded software energy estimation either provide unusable average-case results or require prohibitively complex hardware setups for cycle-accurate results. This paper introduces a new methodology for high-level software energy estimation for embedded systems. The methodology produces cycle-accurate results independent of the energy characterization process. The executed instructions as well as the transitions on the wires are taken into consideration for estimating the energy. This allows tradeoff between the accuracy and the complexity of the model. The methodology is generic and makes no assumptions about the measurement techniques or the architecture of the processor. The introduced methodology also allows successive improvements in the estimation accuracy with each step towards final silicon. The embedded ARM7TDMI RISC processor is modeled with this methodology and the errors are found to be less than 10%. For energy optimization, the model provides excellent relative accuracy too. |
| Sponsorship | VLSI Soc. of India Minist. of Inf. and Commun. Technol., Gov. of India IEEE Electron Devices Soc. IEEE Circuits and Syst. Soc. Tata Consultancy Services Texas Instruments Inc. Nat. Semiconductor Intel Synopsys Cypress Semiconductor Corp. Infineon Technol. Cadence Conexant |
| Starting Page | 749 |
| Ending Page | 752 |
| File Size | 259690 |
| Page Count | 4 |
| File Format | |
| ISBN | 0769520723 |
| DOI | 10.1109/ICVD.2004.1261018 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-01-09 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Energy consumption Energy measurement Hardware Software measurement Embedded software Measurement techniques Very large scale integration Application software Statistical analysis Current measurement |
| Content Type | Text |
| Resource Type | Article |
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