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On the Accuracy of Analog Neural Network Inference Accelerators

On the Accuracy of Analog Neural Network Inference Accelerators

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2569482828

On the Accuracy of Analog Neural Network Inference Accelerators

About this item

Full title

On the Accuracy of Analog Neural Network Inference Accelerators

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2022-02

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Specialized accelerators have recently garnered attention as a method to reduce the power consumption of neural network inference. A promising category of accelerators utilizes nonvolatile memory arrays to both store weights and perform \(\textit{in situ}\) analog computation inside the array. While prior work has explored the design space of analo...

Alternative Titles

Full title

On the Accuracy of Analog Neural Network Inference Accelerators

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2569482828

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2569482828

Other Identifiers

E-ISSN

2331-8422

DOI

10.48550/arxiv.2109.01262

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