GPU implementation of neural networks
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Oh, KS | - |
dc.contributor.author | Jung, K | - |
dc.date.available | 2018-05-10T18:04:32Z | - |
dc.date.created | 2018-04-17 | - |
dc.date.issued | 2004-06 | - |
dc.identifier.issn | 0031-3203 | - |
dc.identifier.uri | http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/19989 | - |
dc.description.abstract | Graphics processing unit (GPU) is used for a faster artificial neural network. It is used to implement the matrix multiplication of a neural network to enhance the time performance of a text detection system. Preliminary results produced a 20-fold performance enhancement using an ATI RADEON 9700 PRO board. The parallelism of a GPU is fully utilized by accumulating a lot of input feature vectors and weight vectors, then converting the many inner-product operations into one matrix operation. Further research areas include benchmarking the performance with various hardware and GPU-aware learning algorithms. (C) 2004 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved. | - |
dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | - |
dc.relation.isPartOf | PATTERN RECOGNITION | - |
dc.title | GPU implementation of neural networks | - |
dc.type | Article | - |
dc.identifier.doi | 10.1016/j.patcog.2004.01.013 | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | PATTERN RECOGNITION, v.37, no.6, pp.1311 - 1314 | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000221553100019 | - |
dc.identifier.scopusid | 2-s2.0-2142662996 | - |
dc.citation.endPage | 1314 | - |
dc.citation.number | 6 | - |
dc.citation.startPage | 1311 | - |
dc.citation.title | PATTERN RECOGNITION | - |
dc.citation.volume | 37 | - |
dc.contributor.affiliatedAuthor | Oh, KS | - |
dc.contributor.affiliatedAuthor | Jung, K | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | graphics processing unit(GPU) | - |
dc.subject.keywordAuthor | neural network(NN) | - |
dc.subject.keywordAuthor | multi-layer perceptron | - |
dc.subject.keywordAuthor | text detection | - |
dc.description.journalRegisteredClass | scopus | - |
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