Operating system for runtime reconfigurable multiprocessor systems
International Journal of Reconfigurable Computing - Special issue on selected papers from the 17th reconfigurable architectures workshop (RAW2010)
Symbolic design space exploration for multi-mode reconfigurable systems
CODES+ISSS '11 Proceedings of the seventh IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis
Partitioning and mapping on NoC-Based MPSoC: an energy consumption saving approach
Proceedings of the 4th International Workshop on Network on Chip Architectures
The q2 profiling framework: driving application mapping for heterogeneous reconfigurable platforms
ARC'12 Proceedings of the 8th international conference on Reconfigurable Computing: architectures, tools and applications
Communication-aware HW/SW co-design for heterogeneous multicore platforms
Proceedings of the 2012 Workshop on Dynamic Analysis
Aging-aware hardware-software task partitioning for reliable reconfigurable multiprocessor systems
Proceedings of the 2013 International Conference on Compilers, Architectures and Synthesis for Embedded Systems
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Until today, the efficient partitioning and mapping of applications for multiprocessor systems is a challenging task. The deployment of reconfigurable hardware in this domain helps to meet the application requirements more efficiently due to hardware adaptation at design and runtime, which is not applicable in the traditional multiprocessor domain. To exploit this novel degree of freedom in multiprocessor system-on-chip (MPSoC) technology, a novel design methodology is needed, which helps to hide the complexity of the hardware architecture and its realization alternatives from the developer. This paper shows one approach for such a design methodology for the development of the hardware architecture and the application partitioning and mapping. A novel multistep approach based on hierarchical clustering is used for partitioning of the software application and for configuration of a runtime adaptive multiprocessor system. Furthermore, each application module is then partitioned in a Hardware-Software Codesign process in order to achieve a maximum of performance on the local processors and therefore in general for the MPSoC.