Proposed method reduces message routing time by 42.5% in network-on-chip applications, suggesting improved energy efficiency.
The Network-on-Chip applications’ performance and efficiency depend on task allocation and message routing, which are complex problems. The existing solutions assign priorities to messages in order to regulate their transmission. Unfortunately, this message classification can lead to routings that block the best global solution. In this work, we propose to use the Hungarian algorithm to dynamically route messages with the minimal cost, i.e., minimizing the communication times while consuming the least energy possible. To meet the real-time constraints coming from requiring results at each flit transmission, we also suggest a hardware version of it, which reduces the processing time by an average of 42.5% with respect to its software implementation.
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Xirgo et al. (2025) studied this question.
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