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Online hardware/software partitioning in networked embedded systems
Proceedings of the 2005 conference on Asia South Pacific design automation - ASP-DAC '05
Today's embedded systems are typically distributed and more often confronted with timevarying demands. Existing methodologies that optimize the partitioning of computational tasks to hardware (HW) and software (SW) at compile-time become obsolete or inefficient in this context as the optimal use of existing resources cannot be foreseen. Here, we investigate a discrete iterative algorithm that balances the load of a H W / s W partition online: Once there are changing computational demands, thedoi:10.1145/1120725.1120772 dblp:conf/aspdac/StreichertHT05 fatcat:veoefznsbfdofoykrk7ac3rmcm