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Continual learning autoencoder training for a particle-in-cell simulation via streaming

Continual learning autoencoder training for a particle-in-cell simulation via streaming

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2734835249

Continual learning autoencoder training for a particle-in-cell simulation via streaming

About this item

Full title

Continual learning autoencoder training for a particle-in-cell simulation via streaming

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2022-11

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

The upcoming exascale era will provide a new generation of physics simulations. These simulations will have a high spatiotemporal resolution, which will impact the training of machine learning models since storing a high amount of simulation data on disk is nearly impossible. Therefore, we need to rethink the training of machine learning models for...

Alternative Titles

Full title

Continual learning autoencoder training for a particle-in-cell simulation via streaming

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2734835249

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2734835249

Other Identifiers

E-ISSN

2331-8422

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