Mapping and Scheduling in Heterogeneous NoC through Population-Based Incremental Learning

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Provided by: Journal of Universal Computer Science
Topic: Hardware
Format: PDF
Network-on-Chip (NoC) is a growing and promising communication paradigm for Multi-Processor-System-on-Chip (MPSoC) design, because of its scalability and performance features. In designing such systems, mapping and scheduling are becoming critical stages, because of the increase of both size of the network and application's complexity. Some reported solutions solve each issue independently. However, a conjoint approach for solving mapping and scheduling allows to take into account both computation and communication objectives simultaneously. This paper shows a mapping and scheduling solution, which is based on a Population-Based Incremental Learning (PBIL) algorithm.
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