Abstract
This work proposes an adaptive architecture for a neuro-inspired vision pipeline that uses a data driven approach to dynamic configuration and optimization of the underlying computational fabric. The micro-architecture allows the adaptation mechanism to be tuned for changing system objectives that cross-cut accuracy, power consumption, and throughput constraints.
| Original language | English (US) |
|---|---|
| Title of host publication | 2014 32nd IEEE International Conference on Computer Design, ICCD 2014 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 505-508 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781479964925 |
| DOIs | |
| State | Published - Dec 3 2014 |
| Event | 32nd IEEE International Conference on Computer Design, ICCD 2014 - Seoul, Korea, Republic of Duration: Oct 19 2014 → Oct 22 2014 |
Publication series
| Name | 2014 32nd IEEE International Conference on Computer Design, ICCD 2014 |
|---|
Other
| Other | 32nd IEEE International Conference on Computer Design, ICCD 2014 |
|---|---|
| Country | Korea, Republic of |
| City | Seoul |
| Period | 10/19/14 → 10/22/14 |
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All Science Journal Classification (ASJC) codes
- Computer Graphics and Computer-Aided Design
- Computer Science Applications
Cite this
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Exploiting natural redundancy in visual information. / Lee, Chris S.; Irick, Kevin M.; Sampson, John Morgan; Zhang, Chuanjun; Narayanan, Vijaykrishnan.
2014 32nd IEEE International Conference on Computer Design, ICCD 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 505-508 6974728 (2014 32nd IEEE International Conference on Computer Design, ICCD 2014).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Exploiting natural redundancy in visual information
AU - Lee, Chris S.
AU - Irick, Kevin M.
AU - Sampson, John Morgan
AU - Zhang, Chuanjun
AU - Narayanan, Vijaykrishnan
PY - 2014/12/3
Y1 - 2014/12/3
N2 - This work proposes an adaptive architecture for a neuro-inspired vision pipeline that uses a data driven approach to dynamic configuration and optimization of the underlying computational fabric. The micro-architecture allows the adaptation mechanism to be tuned for changing system objectives that cross-cut accuracy, power consumption, and throughput constraints.
AB - This work proposes an adaptive architecture for a neuro-inspired vision pipeline that uses a data driven approach to dynamic configuration and optimization of the underlying computational fabric. The micro-architecture allows the adaptation mechanism to be tuned for changing system objectives that cross-cut accuracy, power consumption, and throughput constraints.
UR - http://www.scopus.com/inward/record.url?scp=84919694622&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84919694622&partnerID=8YFLogxK
U2 - 10.1109/ICCD.2014.6974728
DO - 10.1109/ICCD.2014.6974728
M3 - Conference contribution
AN - SCOPUS:84919694622
T3 - 2014 32nd IEEE International Conference on Computer Design, ICCD 2014
SP - 505
EP - 508
BT - 2014 32nd IEEE International Conference on Computer Design, ICCD 2014
PB - Institute of Electrical and Electronics Engineers Inc.
ER -