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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Se Hun Kim Mukhopadhyay, S. Honggab Kim Wolf, M. |
| Copyright Year | 2011 |
| Description | Author affiliation: School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA (Se Hun Kim; Mukhopadhyay, S.; Honggab Kim; Wolf, M.) |
| Abstract | In this paper, we present a low energy image processing system design based on efficient accuracy-energy tradeoffs. The proposed design allows aggressive voltage scaling in the presence of process variation by employing an error concealing method based on the inherent error tolerance of digital signal processing applications. Based on a system-level analysis, we demonstrate that significant energy savings can be achieved from voltage scaling and switching activity reduction for computational components. Using the proposed method, we can also achieve energy savings for other subsystems such as memory by increasing compression ratio. The experimental results show that average overall energy savings of up to ∼50% are possible over a conventional design in a 45nm technology. |
| Starting Page | 106 |
| Ending Page | 111 |
| File Size | 648280 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781457719202 |
| ISSN | 21623562 |
| e-ISBN | 9781457719219 |
| DOI | 10.1109/SiPS.2011.6088958 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-10-04 |
| Publisher Place | Lebanon |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Discrete cosine transforms Delay Image coding Energy consumption Computer architecture Image quality Degradation process variation Low power design aggressive voltage scaling image compression |
| Content Type | Text |
| Resource Type | Article |
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