<div class="csl-bib-body">
<div class="csl-entry">Marchisio, A., Bussolino, B., Salvati, E., Martina, M., Masera, G., & Shafique, M. (2022). Enabling Capsule Networks at the Edge through Approximate Softmax and Squash Operations. In <i>Proceedings of the ACM/IEEE International Symposium on Low Power Electronics and Design</i> (pp. 1–6). https://doi.org/10.1145/3531437.3539717</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/142186
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dc.description.abstract
Complex Deep Neural Networks such as Capsule Networks (CapsNets) exhibit high learning capabilities at the cost of computeintensive operations. To enable their deployment on edge devices, we propose to leverage approximate computing for designing approximate variants of the complex operations like softmax and squash. In our experiments, we evaluate tradeoffs between area, power consumption, and critical path delay of the designs implemented with the ASIC design flow, and the accuracy of the quantized CapsNets, compared to the exact functions.
en
dc.language.iso
en
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dc.subject
Approximate Computing
en
dc.subject
Capsule Networks
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dc.subject
Deep Neural Networks
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dc.subject
Nonlinear Functions
en
dc.subject
Softmax
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dc.subject
Squash
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dc.title
Enabling Capsule Networks at the Edge through Approximate Softmax and Squash Operations
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.contributor.affiliation
Politecnico di Torino
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dc.contributor.affiliation
Politecnico di Torino
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dc.contributor.affiliation
Politecnico di Torino
-
dc.contributor.affiliation
Politecnico di Torino
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dc.contributor.affiliation
New York Univeersity Abu Dhabi (NYUAD), United Arab Emirates
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dc.relation.isbn
9781450393546
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dc.description.startpage
1
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dc.description.endpage
6
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dc.type.category
Poster Contribution
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tuw.booktitle
Proceedings of the ACM/IEEE International Symposium on Low Power Electronics and Design
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tuw.peerreviewed
true
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tuw.researchTopic.id
I2
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tuw.researchTopic.name
Computer Engineering and Software-Intensive Systems
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tuw.researchTopic.value
100
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tuw.publication.orgunit
E191-02 - Forschungsbereich Embedded Computing Systems
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tuw.publisher.doi
10.1145/3531437.3539717
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dc.description.numberOfPages
6
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tuw.author.orcid
0000-0002-0689-4776
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tuw.event.name
ISLPED '22: ACM/IEEE International Symposium on Low Power Electronics and Design
en
tuw.event.startdate
01-08-2022
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tuw.event.enddate
03-08-2022
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tuw.event.online
Hybrid
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tuw.event.type
Event for scientific audience
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tuw.event.place
Boston
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tuw.event.country
US
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tuw.event.presenter
Marchisio, Alberto
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wb.sciencebranch
Informatik
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wb.sciencebranch.oefos
1020
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wb.sciencebranch.value
100
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item.openairetype
Inproceedings
-
item.openairetype
Konferenzbeitrag
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restricted
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Publications
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Publications
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item.languageiso639-1
en
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http://purl.org/coar/resource_type/c_18cf
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item.openairecristype
http://purl.org/coar/resource_type/c_18cf
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item.fulltext
no Fulltext
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crisitem.author.dept
E191-02 - Forschungsbereich Embedded Computing Systems
-
crisitem.author.dept
Politecnico di Torino
-
crisitem.author.dept
Politecnico di Torino
-
crisitem.author.dept
Politecnico di Torino, Italy
-
crisitem.author.dept
Politecnico di Torino
-
crisitem.author.dept
New York Univeersity Abu Dhabi (NYUAD), United Arab Emirates