Beyond Moore: An Integrated Metric Framework for Post-CMOS Progress

Conventional transistor-density scaling, described by Moore's Law, has slowed markedly since 2012, signalling its practical end as a primary metric for progress in the semiconductor industry. We propose a Composite Performance Index (CPI) that combines compute throughput, energy efficiency, and cost to more accurately capture progress in the post-CMOS era. By analyzing public data from 28 nm to 2 nm process nodes, we show that while density gains plateau, the CPI continues to improve at a rate of approximately 10x per decade, driven by innovations in packaging, architecture, and materials. This paper discusses the physical limits of traditional scaling, the economic drivers compelling a new approach, and the policy implications of adopting a more holistic metric. An open dataset and Python notebooks for replication are provided.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-03
DOI
https://doi.org/10.5281/zenodo.16734024
Primary Topic
VLSI and FPGA Design Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Beyond Moore: An Integrated Metric Framework for Post-CMOS Progress

Zenodo (CERN European Organization for Nuclear Research)
VLSI and FPGA Design Techniques
article

Beyond Moore: An Integrated Metric Framework for Post-CMOS Progress

article en

Abstract

Conventional transistor-density scaling, described by Moore's Law, has slowed markedly since 2012, signalling its practical end as a primary metric for progress in the semiconductor industry. We propose a Composite Performance Index (CPI) that combines compute throughput, energy efficiency, and cost to more accurately capture progress in the post-CMOS era. By analyzing public data from 28 nm to 2 nm process nodes, we show that while density gains plateau, the CPI continues to improve at a rate of approximately 10x per decade, driven by innovations in packaging, architecture, and materials. This paper discusses the physical limits of traditional scaling, the economic drivers compelling a new approach, and the policy implications of adopting a more holistic metric. An open dataset and Python notebooks for replication are provided.

Zenodo (CERN European Organization for Nuclear Research)
Technion – Israel Institute of Technology (IL)
Affordable and clean energy
Openalex Percentile: Top 56%
VLSI and FPGA Design Techniques
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