TY - GEN
T1 - Modeling of data adaptable reconfigurable embedded systems
AU - Gopinath, Vijay Shankar
AU - Sprinkle, Jonathan
AU - Lysecky, Roman
PY - 2011
Y1 - 2011
N2 - Many applications require high flexibility, high configurability and high processing speeds. The physical constraints of a highly flexible system's hardware implementation preclude a hardware solution that satisfies all configuration options. Similarly for pure software implementations, even if configurability is satisfied, process efficiency will be sacrificed. Thus for applications of any significant size, there can be no single hardware or software configuration that can efficiently support all the configurability options of the applications. The Data-Adaptable Reconfigurable Embedded System (DARES) approach tackles this problem through combination of the hardware-software co-design and reconfigurable computing methodologies. Data-adaptability means that as data streams change, the system is reconfigured along the baselines defined within the system's specifications. In this project we use the concepts of Model-Integrated Computing to implement a domain-specific modeling language for the DARES approach. The language captures all the configurability options of the application task(s), performs design-space exploration, and provides a template for source code generation.
AB - Many applications require high flexibility, high configurability and high processing speeds. The physical constraints of a highly flexible system's hardware implementation preclude a hardware solution that satisfies all configuration options. Similarly for pure software implementations, even if configurability is satisfied, process efficiency will be sacrificed. Thus for applications of any significant size, there can be no single hardware or software configuration that can efficiently support all the configurability options of the applications. The Data-Adaptable Reconfigurable Embedded System (DARES) approach tackles this problem through combination of the hardware-software co-design and reconfigurable computing methodologies. Data-adaptability means that as data streams change, the system is reconfigured along the baselines defined within the system's specifications. In this project we use the concepts of Model-Integrated Computing to implement a domain-specific modeling language for the DARES approach. The language captures all the configurability options of the application task(s), performs design-space exploration, and provides a template for source code generation.
KW - DARES
KW - Data adaptability
KW - GME
KW - Model integrated computing
KW - Model-based design
UR - http://www.scopus.com/inward/record.url?scp=80051997890&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80051997890&partnerID=8YFLogxK
U2 - 10.1109/ECBS.2011.31
DO - 10.1109/ECBS.2011.31
M3 - Conference contribution
AN - SCOPUS:80051997890
SN - 9780769543796
T3 - Proceedings - 18th IEEE International Conference and Workshops on Engineering of Computer-Based Systems, ECBS 2011
SP - 276
EP - 283
BT - Proceedings - 18th IEEE International Conference and Workshops on Engineering of Computer-Based Systems, ECBS 2011
T2 - 18th IEEE International Conference and Workshops on Engineering of Computer-Based Systems, ECBS 2011
Y2 - 27 April 2011 through 29 April 2011
ER -