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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lahiri, K. Raghunathan, A. Dey, S. |
| Copyright Year | 1982 |
| Abstract | The ability to efficiently and accurately estimate battery life under different design choices at the system level is an important aid in designing battery-efficient systems. Recently developed battery models help by estimating battery life under given profiles of the battery discharge current over time. However, existing techniques for energy (or average power) estimation do not provide sufficient information (such as time profiles of system power consumption) to drive battery-life estimation. Techniques that are capable of generating such profiles often lack the efficiency required to support exploration at the system level. In this paper, we describe techniques for efficient generation of system-level power profiles, for use in a battery-life estimation framework. Our power profiling technique allows a designer to experiment with: 1) the mapping of system tasks to a set of architectural components and 2) the mapping of system communications to a specified communication architecture, and efficiently generate system power profiles for each alternative. The resulting profiles can then be analyzed using existing battery models to estimate battery lifetime and capacity. Extensive experiments conducted on an IEEE 802.11 MAC processor design demonstrate that our power profiler offers orders of magnitude improvement in runtimes over state-of-the-art cosimulation-based power estimation techniques, while suffering minimal loss of accuracy (average profiling error was 3.8%). |
| Sponsorship | IEEE Council on Electronic Design Automation IEEE Circuits and Systems Society |
| Starting Page | 919 |
| Ending Page | 932 |
| Page Count | 14 |
| File Size | 699073 |
| File Format | |
| ISSN | 02780070 |
| Volume Number | 23 |
| Issue Number | 6 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-06-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Embedded system Batteries Life estimation Power system modeling Power generation Energy consumption Lifetime estimation Process design Runtime State estimation |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Graphics and Computer-Aided Design Electrical and Electronic Engineering Software |
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