This paper presents an approximate communication technique aimed at improving the energy efficiency of Network-on-Chip (NoC) based architectures. The basic idea is a selective adjustment, at run-time, of the voltage swing of the links of the NoC to obtain a trade-off between the communication energy consumption and the accuracy of the running application. The proposed technique is applied to a case study, namely, a JPEG encoder resulting in an energy saving up to 70% with a negligible impact on the quality of the compressed image.

Improving energy consumption of NoC based architectures through approximate communication

Ascia, Giuseppe;Catania, Vincenzo;Monteleone, Salvatore;Palesi, Maurizio;Patti, Davide;
2018-01-01

Abstract

This paper presents an approximate communication technique aimed at improving the energy efficiency of Network-on-Chip (NoC) based architectures. The basic idea is a selective adjustment, at run-time, of the voltage swing of the links of the NoC to obtain a trade-off between the communication energy consumption and the accuracy of the running application. The proposed technique is applied to a case study, namely, a JPEG encoder resulting in an energy saving up to 70% with a negligible impact on the quality of the compressed image.
2018
9781538656822
Approximate communication; Approximate computing; Energy efficiency; Network-on-Chip; Artificial Intelligence; Computer Science Applications1707 Computer Vision and Pattern Recognition; Signal Processing; Health Informatics; Instrumentation
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/335829
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