Analog Computing with High Precision and Reliability (Invited)

Analog devices such as memristors have been restricted to specific and low-precision application areas due to their historical limitations in precision and reliability. To solve that, we study the source of the reading noise and successfully mitigate it, achieving 2048 stable conductance levels. At the system level, we co-design a circuit architecture and programming algorithm to mitigate the device programming variations and reliability issues and demonstrate high-precision computing applications with enhanced power efficiency.

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Publication Details

Published
2025-03-30
DOI
https://doi.org/10.1109/irps48204.2025.10983907
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Analog Computing with High Precision and Reliability (Invited)

Wenhao Song, J. Joshua Yang
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Parallel Computing and Optimization Techniques
article

Analog Computing with High Precision and Reliability (Invited)

Wenhao Song, J. Joshua Yang
article en

Abstract

Analog devices such as memristors have been restricted to specific and low-precision application areas due to their historical limitations in precision and reliability. To solve that, we study the source of the reading noise and successfully mitigate it, achieving 2048 stable conductance levels. At the system level, we co-design a circuit architecture and programming algorithm to mitigate the device programming variations and reliability issues and demonstrate high-precision computing applications with enhanced power efficiency.

University of Southern California (US)
National Science Foundation
Openalex Percentile: Top 91%
Parallel Computing and Optimization Techniques
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