2019 IX Brazilian Symposium on Computing Systems Engineering (SBESC) 2019
DOI: 10.1109/sbesc49506.2019.9046081
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Application of an Adaptive Genetic Algorithm for Task Mapping Optimisation on a Wormhole-based Real-time Network-on-Chip

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Cited by 5 publications
(1 citation statement)
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“…Their approach is 96.34% more efficient than VRPEC, but more work is needed to make real-time data more scalable and adaptable. For real-time job translation in multiprocessor system-on-chip applications, Barros et al (2019) created an AGA to solve the problem of NP-compliant translation. This study recommends more research into potential bottlenecks such as long communication delays, adaptive techniques, and heuristic algorithms.…”
Section: Literature Surveymentioning
confidence: 99%
“…Their approach is 96.34% more efficient than VRPEC, but more work is needed to make real-time data more scalable and adaptable. For real-time job translation in multiprocessor system-on-chip applications, Barros et al (2019) created an AGA to solve the problem of NP-compliant translation. This study recommends more research into potential bottlenecks such as long communication delays, adaptive techniques, and heuristic algorithms.…”
Section: Literature Surveymentioning
confidence: 99%