Performance of Deep Learning Computation with TensorFlow Software Library in GPU-Capable Multi-Core Computing Platforms
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Mo, Young Jong | - |
dc.contributor.author | Kim, Joongheon | - |
dc.contributor.author | Kim, Jong-Kook | - |
dc.contributor.author | Mohaisen, Aziz | - |
dc.contributor.author | Lee, Woojoo | - |
dc.date.accessioned | 2022-04-14T08:40:17Z | - |
dc.date.available | 2022-04-14T08:40:17Z | - |
dc.date.issued | 2017-07 | - |
dc.identifier.issn | 2165-8528 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/56523 | - |
dc.description.abstract | In this paper we measure and verify the performance improvements in deep learning computation under the support of GPU-enabled multi-core parallel computing platforms. To measure the performance practically, we built our own computing platforms using a GPU hardware (1152 cores) and the TensorFlow software library. In order to evaluate the performance with GPU, we conducted the deep learning computation with various numbers of hidden layers in multilayer perceptron. As presented in the comparative performance results, utilizing GPU hardware improved the performance in terms of computation time (about 3 times or even more). | - |
dc.format.extent | 3 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | IEEE | - |
dc.title | Performance of Deep Learning Computation with TensorFlow Software Library in GPU-Capable Multi-Core Computing Platforms | - |
dc.type | Article | - |
dc.identifier.doi | 10.1109/ICUFN.2017.7993784 | - |
dc.identifier.bibliographicCitation | 2017 NINTH INTERNATIONAL CONFERENCE ON UBIQUITOUS AND FUTURE NETWORKS (ICUFN 2017), pp 240 - 242 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 000425924400050 | - |
dc.identifier.scopusid | 2-s2.0-85028075671 | - |
dc.citation.endPage | 242 | - |
dc.citation.startPage | 240 | - |
dc.citation.title | 2017 NINTH INTERNATIONAL CONFERENCE ON UBIQUITOUS AND FUTURE NETWORKS (ICUFN 2017) | - |
dc.type.docType | Proceedings Paper | - |
dc.publisher.location | 미국 | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.description.journalRegisteredClass | scopus | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
84, Heukseok-ro, Dongjak-gu, Seoul, Republic of Korea (06974)02-820-6194
COPYRIGHT 2019 Chung-Ang University All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.