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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Niar, S. Inglart, N. |
| Copyright Year | 2006 |
| Description | Author affiliation: Universite de Valenciennes et du Hainaut-Cambresis (Niar, S.; Inglart, N.) |
| Abstract | As embedded systems increase in complexity, rapid performance estimation methods, appropriate for use early in the design process, are becoming more and more necessary. These methods can produce significant decreases in execution time, power consumption and system cost. However, to be practicable, a design space exploration (DSE) process must be capable of evaluating several design alternatives quickly. This paper focuses on ways to accelerate performance and power consumption evaluation for embedded systems. Three methods: statistical simulation (SS), analytical modeling and detailed simulation (AMDS) and analytical modeling and statistical simulation (AMSS), offering both speed and accuracy for detailed cycle-accurate micro-architecture simulation, are presented and compared. Experimental results indicate that these methods produce interesting simulation acceleration factors. In addition, the error margin is on average less than 3.8%, reaching 8% in the worst case |
| Sponsorship | IEEE Comput. Soc. Tech. Committ. on Simulation IEEE Comput. Soc. Tech. Committ. on Design Autom |
| Starting Page | 47 |
| Ending Page | 53 |
| File Size | 245325 |
| Page Count | 7 |
| File Format | |
| ISBN | 0769525806 |
| ISSN | 10746005 |
| DOI | 10.1109/RSP.2006.30 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-06-14 |
| Publisher Place | Greece |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Energy consumption Embedded system Space exploration Analytical models Acceleration Costs Power system modeling Circuit simulation Process design Integrated circuit technology |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Science |
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