Code Optimization Techniques to Reduce Energy Consumption of Multimedia Applications in Hybrid Memory
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Thomas Haywood Dadzie | - |
dc.contributor.author | Seungpyo Cho | - |
dc.contributor.author | 오현옥 | - |
dc.date.accessioned | 2021-08-03T03:27:44Z | - |
dc.date.available | 2021-08-03T03:27:44Z | - |
dc.date.created | 2021-05-13 | - |
dc.date.issued | 2016-08 | - |
dc.identifier.issn | 2287-5255 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/33045 | - |
dc.description.abstract | This paper proposes code optimization techniques to reduce energy consumption of complex multimedia applications in a hybrid memory system with volatile dynamic random access memory (DRAM) and non-volatile spin-transfer torque magnetoresistive RAM (STT-MRAM). The proposed approach analyzes read/write operations for variables in an application. Based on the profile, variables with a high read operation are allocated to STT-MRAM, and variables with a high write operation are allocated to DRAM to reduce energy consumption. In this paper, to optimize code for real-life complicated applications, we develop a profiler, a code modifier, and compiler/link scripts. The proposed techniques are applied to a Fast Forward Motion Picture Experts Group (FFmpeg) application. The experiment reduces energy consumption by up to 22%. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | 대한전자공학회 | - |
dc.title | Code Optimization Techniques to Reduce Energy Consumption of Multimedia Applications in Hybrid Memory | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | 오현옥 | - |
dc.identifier.bibliographicCitation | IEIE Transactions on Smart Processing & Computing, v.5, no.4, pp.274 - 282 | - |
dc.relation.isPartOf | IEIE Transactions on Smart Processing & Computing | - |
dc.citation.title | IEIE Transactions on Smart Processing & Computing | - |
dc.citation.volume | 5 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 274 | - |
dc.citation.endPage | 282 | - |
dc.type.rims | ART | - |
dc.identifier.kciid | ART002143415 | - |
dc.description.journalClass | 2 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | kci | - |
dc.description.journalRegisteredClass | other | - |
dc.subject.keywordAuthor | Compiler | - |
dc.subject.keywordAuthor | Simulation | - |
dc.subject.keywordAuthor | Hybrid memory | - |
dc.subject.keywordAuthor | Energy consumption | - |
dc.identifier.url | https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE07002951 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
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.