TY - GEN
T1 - Efficient reconfiguration methods to enable rapid deployment of runtime reconfigurable systems
AU - Lysecky, Roman
AU - Sandoval, Nathan
AU - Whitsitt, Sean
AU - Mackin, Casey
AU - Sprinkle, Jonathan
PY - 2013
Y1 - 2013
N2 - Today's sensing and processing algorithms operate on vast data streams coming from a broad range on input sources. In response, embedded computing applications require a large degree of configurability and adaptability to operate on a variety of data inputs where the characteristic of the data inputs may also change over time. To address these challenges, runtime reconfigurable systems can enable efficient implementations in which hardware accelerators can be reconfigured in response to the characteristics of the current data inputs. In this paper, we present an overview of the framework and runtime reconfiguration methods developed in the data-adaptable reconfigurable embedded systems (DARES) project. We provide an overview of the rapid deployment and runtime reconfiguration capabilities of this methodology, showcasing an adaptable implementation of a JPEG2000 image compression application.
AB - Today's sensing and processing algorithms operate on vast data streams coming from a broad range on input sources. In response, embedded computing applications require a large degree of configurability and adaptability to operate on a variety of data inputs where the characteristic of the data inputs may also change over time. To address these challenges, runtime reconfigurable systems can enable efficient implementations in which hardware accelerators can be reconfigured in response to the characteristics of the current data inputs. In this paper, we present an overview of the framework and runtime reconfiguration methods developed in the data-adaptable reconfigurable embedded systems (DARES) project. We provide an overview of the rapid deployment and runtime reconfiguration capabilities of this methodology, showcasing an adaptable implementation of a JPEG2000 image compression application.
KW - data adaptability
KW - hardware/software codesign
KW - model-based design
KW - runtime transition scheduling
UR - http://www.scopus.com/inward/record.url?scp=84901248277&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84901248277&partnerID=8YFLogxK
U2 - 10.1109/ACSSC.2013.6810401
DO - 10.1109/ACSSC.2013.6810401
M3 - Conference contribution
AN - SCOPUS:84901248277
SN - 9781479923908
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 819
EP - 823
BT - Conference Record of the 47th Asilomar Conference on Signals, Systems and Computers
PB - IEEE Computer Society
T2 - 2013 47th Asilomar Conference on Signals, Systems and Computers
Y2 - 3 November 2013 through 6 November 2013
ER -