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Carbon Per Transistor (CPT): The Golden Formula for Green Computing Metrics

Other Computer Science 2025-02-06 v1 Materials Science

Abstract

As computing power advances, the environmental cost of semiconductor manufacturing and operation has become a critical concern. However, current sustainability metrics fail to quantify carbon emissions at the transistor level, the fundamental building block of modern processors. This paper introduces a Carbon Per Transistor (CPT) formula -- a novel approach and green implementation metric to measuring the CO2_2 footprint of semiconductor chips from fabrication to end-of-life. By integrating emissions from silicon crystal growth, wafer production, chip manufacturing, and operational power dissipation, the CPT formula provides a scientifically rigorous benchmark for evaluating the sustainability of computing hardware. Using real-world data from Intel Core i9-13900K, AMD Ryzen 9 7950X, and Apple M1/M2/M3 processors, we reveal a startling insight-manufacturing emissions dominate, contributing 60-125 kg CO2_2 per CPU, far exceeding operational emissions over a typical device lifespan. Notably, Apple's high-transistor-count M-series chips, despite their energy efficiency, exhibit a significantly larger carbon footprint than traditional processors due to extensive fabrication impact. This research establishes a critical reference point for green computing initiatives, enabling industry leaders and researchers to make data-driven decisions in reducing semiconductor-related emissions and get correct estimates for the green factor of the information technology process. The proposed formula paves the way for carbon-aware chip design, regulatory standards, and future innovations in sustainable computing.

Keywords

Cite

@article{arxiv.2502.02606,
  title  = {Carbon Per Transistor (CPT): The Golden Formula for Green Computing Metrics},
  author = {Zag ElSayed and Nelly Elsayed and Ahmed Abdelgawad},
  journal= {arXiv preprint arXiv:2502.02606},
  year   = {2025}
}
R2 v1 2026-06-28T21:32:33.656Z