Back to Search
Start Over
A modeling front-end for seamless design and generation of context-aware Dynamically Reconfigurable Systems-on-Chip
- Source :
- Journal of Parallel and Distributed Computing, Journal of Parallel and Distributed Computing, Elsevier, 2018, 112, pp.1-19. ⟨10.1016/j.jpdc.2017.09.011⟩, Journal of Parallel and Distributed Computing, 2018, 112, pp.1-19. ⟨10.1016/j.jpdc.2017.09.011⟩
- Publication Year :
- 2018
- Publisher :
- HAL CCSD, 2018.
-
Abstract
- International audience; In this paper, we present a Model Driven Engineering (MDE) methodology for facilitating the modeling of the partial reconfiguration process, and for implementing Dynamic Reconfigurable System-on-Chip (DRSoC). The rationale for this approach is to provide a modeling front-end that enables to visually compose a hardware platform, containing heterogeneous components, using both static and context-management hardware wrappers. A model transformations engine (MTE) processes the high-level models to obtain the inputs for the Xilinx dynamic partial reconfiguration (DPR) design flow, with the benefit of better exploiting and reusing the designer intentions regarding the allocation of tasks into reconfigurable areas. Furthermore, the automatic synthesis of a reconfiguration controller (RecOS) with context-management and task relocation capabilities is supported in this version of our tool. The latter feature is possible due to the integration of relocation tool OORBIT into the design chain, but we point out at other avenues of research. We present a case study in which we assess the benefits of the methodology and present a thorough analysis of the reconfiguration costs associated with the context and relocation management, showing speedups of 1.5x over other solutions.
- Subjects :
- Reconfigurable systems
Computer Networks and Communications
Process (engineering)
Computer science
Design flow
IP-XACT
Context (language use)
02 engineering and technology
01 natural sciences
System-on-Chip
Theoretical Computer Science
Front and back ends
Artificial Intelligence
Control theory
0103 physical sciences
0202 electrical engineering, electronic engineering, information engineering
System on a chip
computer.programming_language
010302 applied physics
Context-aware
business.industry
Control reconfiguration
UML MARTE
020202 computer hardware & architecture
[SPI.TRON]Engineering Sciences [physics]/Electronics
Hardware and Architecture
Embedded system
Bistream relocation
Model-driven architecture
business
computer
Software
management
Subjects
Details
- Language :
- English
- ISSN :
- 07437315 and 10960848
- Database :
- OpenAIRE
- Journal :
- Journal of Parallel and Distributed Computing, Journal of Parallel and Distributed Computing, Elsevier, 2018, 112, pp.1-19. ⟨10.1016/j.jpdc.2017.09.011⟩, Journal of Parallel and Distributed Computing, 2018, 112, pp.1-19. ⟨10.1016/j.jpdc.2017.09.011⟩
- Accession number :
- edsair.doi.dedup.....0ba34e82e217ae70776ff7132efd2a96
- Full Text :
- https://doi.org/10.1016/j.jpdc.2017.09.011⟩