Dynamic, Energy-Aware Routing in NoC with Hardware Support

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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Publication Details

Journal
Dipòsit Digital de Documents de la UAB (Universitat Autònoma de Barcelona)
Published
2025-01-01
DOI
https://doi.org/10.3390/electronics14142860
Primary Topic
Interconnection Networks and Systems
Type
article
Field-Weighted Citation Impact
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article

Dynamic, Energy-Aware Routing in NoC with Hardware Support

Lluís Ribas-Xirgo, Antoni Portero
Dipòsit Digital de Documents de la UAB (Universitat Autònoma de Barcelona)
Interconnection Networks and Systems
article

Dynamic, Energy-Aware Routing in NoC with Hardware Support

Lluís Ribas-Xirgo, Antoni Portero
article en

Abstract

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.

Dipòsit Digital de Documents de la UAB (Universitat Autònoma de Barcelona)
Universitat Autònoma de Barcelona (ES), Barcelona Supercomputing Center (ES), Universitat Politècnica de Catalunya (ES)
Affordable and clean energy
Openalex Percentile: Top 78%
Interconnection Networks and Systems
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