GPU-Accelerated Recurrent Neural Networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00235351" target="_blank" >RIV/68407700:21230/15:00235351 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21240/15:00230227
Result on the web
<a href="http://www.ims2015.net/proceedings/papers/29.pdf" target="_blank" >http://www.ims2015.net/proceedings/papers/29.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
GPU-Accelerated Recurrent Neural Networks
Original language description
The paper presents application of OpenCLLink in Wolfram Mathematica to accelerate fully recurrent neural networks using GPU. We also show the idea of automatically generated parts of source code using SymbolicC.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 12th International Mathematica Symposium
ISBN
978-80-01-05623-3
ISSN
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e-ISSN
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Number of pages
12
Pages from-to
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Publisher name
ČVUT, Fakulta elektrotechnická
Place of publication
Praha
Event location
Praha
Event date
Jan 12, 2015
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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