Synthesis of Self-Adaptable Software for Multicore Embedded Systems
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- @InProceedings{Deniziak:2020:DDECS,
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author = "Stanislaw Deniziak and Leszek Ciopinski",
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booktitle = "2020 23rd International Symposium on Design and
Diagnostics of Electronic Circuits Systems (DDECS)",
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title = "Synthesis of Self-Adaptable Software for Multicore
Embedded Systems",
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year = "2020",
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month = apr,
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keywords = "genetic algorithms, genetic programming",
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DOI = "doi:10.1109/DDECS50862.2020.9095745",
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ISSN = "2473-2117",
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abstract = "This paper presents a method of synthesis of real-time
software for self-adaptive multicore systems. The
method assumes that the system specification is given
as a task graph. Then, tasks are scheduled on multicore
architecture consisting of low-power and
high-performance cores. We apply the developmental
genetic programming to generate the self-adaptive
scheduler and the initial schedule. The initial
schedule is optimized taking into consideration the
power consumption, the real-time constraints as well as
the self-adaptivity. The scheduler modifies the
schedule, during the system execution, whenever
execution time of the recently finished task occurred
other than assumed during initial scheduling. We
propose two models of self-adaptivity:
self-optimization of power consumption and
self-adaptivity of real-time scheduling. We present
some experimental results for standard benchmarks,
showing the advantages of our method in comparison with
the worst case design used in existing approaches.",
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notes = "Also known as \cite{9095745}",
- }
Genetic Programming entries for
Stanislaw Deniziak
Leszek Ciopinski
Citations