On the Accuracy of Analog Neural Network Inference Accelerators
On the Accuracy of Analog Neural Network Inference Accelerators
About this item
Full title
Author / Creator
Publisher
Ithaca: Cornell University Library, arXiv.org
Journal title
Language
English
Formats
Publication information
Publisher
Ithaca: Cornell University Library, arXiv.org
Subjects
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
Authors, Artists and Contributors
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