TThis paper explores data encoding techniques for reducing energy consumption in Network-on-Chip (NoC) architectures. NoCs are critical components in modern computing systems that connect processing elements and memory units. However, the high energy consumption of NoCs is a major concern, especially in mobile and embedded systems. In this study, various encoding techniques are analyzed and evaluated in terms of energy consumption reduction and performance impact. The results show that these techniques can significantly reduce the energy consumption of NoCs while maintaining acceptable levels of performance. The findings of this study can guide the design of energy-efficient NoCs for future computing systems.
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