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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lahiri, K. Raghunathan, A. Dey, S. |
| Copyright Year | 2002 |
| Abstract | An increasing disparity between the energy requirements of portable electronic devices and available battery capacities is driving the development of new design methodologies for battery-efficient systems. A crucial requirement for battery efficient system design is to be able to efficiently and accurately estimate battery life for candidate system architectures. Recently, efficient techniques have been developed to estimate battery life under given profiles of system power consumption over time. However, techniques for generating the power profiles themselves are either too cumbersome for system level exploration, or too inaccurate for battery life estimation. In this paper. we present a new methodology for efficiently and accurately generating power profiles for different system-level architectures. The designer can specify the manner in which (i) system tasks are mapped to a set of available implementations, and (ii) system communications are mapped to a specified communication architecture. For a given architecture, a power profile is automatically generated by analyzing an abstract representation of the system execution traces, while taking into account the selected implementations of the system's computations and communications. Experiments conducted on the design of an IEEE 802.11 MAC processor indicate that the power profiling approach offers run times that are several orders of magnitude lower than a simulation based power profiling technique. while sustaining negligible loss of accuracy (average profiling error was observed to be less than 3.4%). |
| Sponsorship | IEEE Comput. Soc. Tech. Committee on Design Autom. IEEE Comput. Soc. Tech. Council on Software Eng. IEEE Circuits & Syst. Soc. IFIP WG 10.5 ACM SIG Software Eng. ACM SIG Design Autom |
| Starting Page | 157 |
| Ending Page | 162 |
| File Size | 516220 |
| Page Count | 6 |
| File Format | |
| ISBN | 1581135424 |
| DOI | 10.1109/CODES.2002.1003618 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2002-05-08 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Association for Computing Machinery, Inc. (ACM) |
| Subject Keyword | Batteries Energy consumption Yield estimation Life estimation Computer architecture Permission Power system modeling National electric code Wireless communication Ice |
| Content Type | Text |
| Resource Type | Article |
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