Design of arithmetic units for vector processors based on carbon-based technology

Vector processors are widely used in high-performance computing (HPC) due to their flexibility and energy efficiency[1-3]. However, their performance scaling is increasingly constrained as silicon technology approaches its physical limits. This paper investigates carbon-based arithmetic units as a promising alternative for vector processors. Through simulations, we demonstrate that CNT arithmetic unit achieves 33% lower latency than silicon at the 0.5μm node. And at sub-10nm technology nodes, CNT-based designs exhibit a 7× speedup compared to conventional silicon FinFET implementations. These results highlight CNT's superior scaling characteristics and its strong potential as a next-generation computing technology.

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Publication Details

Journal
IEICE Electronics Express
Published
2025-09-01
DOI
https://doi.org/10.1587/elex.22.20250415
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
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article

Design of arithmetic units for vector processors based on carbon-based technology

Wei Wu, Minghui Yin, Yunxia You, Chen Wang et al.
IEICE Electronics Express
Manufacturing Process and Optimization
article

Design of arithmetic units for vector processors based on carbon-based technology

Wei Wu, Minghui Yin, Yunxia You, Chen Wang, Weihua Zhang, Hongwei Liu, Bo Peng, Huanhuan Zhou, Zhiqiang Li
article en

Abstract

Vector processors are widely used in high-performance computing (HPC) due to their flexibility and energy efficiency[1-3]. However, their performance scaling is increasingly constrained as silicon technology approaches its physical limits. This paper investigates carbon-based arithmetic units as a promising alternative for vector processors. Through simulations, we demonstrate that CNT arithmetic unit achieves 33% lower latency than silicon at the 0.5μm node. And at sub-10nm technology nodes, CNT-based designs exhibit a 7× speedup compared to conventional silicon FinFET implementations. These results highlight CNT's superior scaling characteristics and its strong potential as a next-generation computing technology.

IEICE Electronics ExpressVol. 22(21)
Chinese Academy of Sciences (CN), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 68%
Manufacturing Process and Optimization
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