A Survey on Deep Learning Hardware Accelerators for Heterogeneous HPC Platforms
A Survey on Deep Learning Hardware Accelerators for Heterogeneous HPC Platforms
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Author / Creator
Silvano, Cristina , Ielmini, Daniele , Ferrandi, Fabrizio , Fiorin, Leandro , Curzel, Serena , Benini, Luca , Conti, Francesco , Garofalo, Angelo , Zambelli, Cristian , Calore, Enrico , Schifano, Sebastiano Fabio , Palesi, Maurizio , Ascia, Giuseppe , Patti, Davide , Nicola, Petra , De Caro, Davide , Lavagno, Luciano , Urso, Teodoro , Cardellini, Valeria , Cardarilli, Gian Carlo , Birke, Robert and Perri, Stefania
Publisher
Ithaca: Cornell University Library, arXiv.org
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Language
English
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Publisher
Ithaca: Cornell University Library, arXiv.org
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Scope and Contents
Contents
Recent trends in deep learning (DL) imposed hardware accelerators as the most viable solution for several classes of high-performance computing (HPC) applications such as image classification, computer vision, and speech recognition. This survey summarizes and classifies the most recent advances in designing DL accelerators suitable to reach the pe...
Alternative Titles
Full title
A Survey on Deep Learning Hardware Accelerators for Heterogeneous HPC Platforms
Authors, Artists and Contributors
Author / Creator
Ielmini, Daniele
Ferrandi, Fabrizio
Fiorin, Leandro
Curzel, Serena
Benini, Luca
Conti, Francesco
Garofalo, Angelo
Zambelli, Cristian
Calore, Enrico
Schifano, Sebastiano Fabio
Palesi, Maurizio
Ascia, Giuseppe
Patti, Davide
Nicola, Petra
De Caro, Davide
Lavagno, Luciano
Urso, Teodoro
Cardellini, Valeria
Cardarilli, Gian Carlo
Birke, Robert
Perri, Stefania
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Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2830496912
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2830496912
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E-ISSN
2331-8422
