Massive parallelization technique for random linear network coding
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Choi, S.-M. | - |
dc.contributor.author | Park, J.-S. | - |
dc.date.accessioned | 2021-10-12T08:44:12Z | - |
dc.date.available | 2021-10-12T08:44:12Z | - |
dc.date.created | 2021-10-08 | - |
dc.date.issued | 2014 | - |
dc.identifier.issn | 0000-0000 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/16423 | - |
dc.description.abstract | Random linear network coding (RLNC) has gain popularity as a useful performance-enhancing tool for communications networks. In this paper, we propose a RLNC parallel implementation technique for General Purpose Graphical Processing Units (GPGPUs.) Recently, GPGPU technology has paved the way for parallelizing RLNC; however, current state-of-the-art parallelization techniques for RLNC are unable to fully utilize GPGPU technology in many occasions. Addressing this problem, we propose a new RLNC parallelization technique that can fully exploit GPGPU architectures. Our parallel method shows over 4 times higher throughput compared to existing state-of-the-art parallel RLNC decoding schemes for GPGPU and 20 times higher throughput over the state-of-the-art serial RLNC decoders. © 2014 IEEE. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IEEE Computer Society | - |
dc.subject | Network coding | - |
dc.subject | Parallel algorithms | - |
dc.subject | Program processors | - |
dc.subject | Communications networks | - |
dc.subject | GPGPU | - |
dc.subject | Gpgpu architectures | - |
dc.subject | Graphical processing unit (GPUs) | - |
dc.subject | Parallel implementations | - |
dc.subject | Parallel method | - |
dc.subject | Parallelization techniques | - |
dc.subject | Random Linear Network Coding | - |
dc.subject | Linear networks | - |
dc.title | Massive parallelization technique for random linear network coding | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Park, J.-S. | - |
dc.identifier.doi | 10.1109/BIGCOMP.2014.6741456 | - |
dc.identifier.scopusid | 2-s2.0-84900581356 | - |
dc.identifier.bibliographicCitation | 2014 International Conference on Big Data and Smart Computing, BIGCOMP 2014, pp.296 - 299 | - |
dc.relation.isPartOf | 2014 International Conference on Big Data and Smart Computing, BIGCOMP 2014 | - |
dc.citation.title | 2014 International Conference on Big Data and Smart Computing, BIGCOMP 2014 | - |
dc.citation.startPage | 296 | - |
dc.citation.endPage | 299 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Network coding | - |
dc.subject.keywordPlus | Parallel algorithms | - |
dc.subject.keywordPlus | Program processors | - |
dc.subject.keywordPlus | Communications networks | - |
dc.subject.keywordPlus | GPGPU | - |
dc.subject.keywordPlus | Gpgpu architectures | - |
dc.subject.keywordPlus | Graphical processing unit (GPUs) | - |
dc.subject.keywordPlus | Parallel implementations | - |
dc.subject.keywordPlus | Parallel method | - |
dc.subject.keywordPlus | Parallelization techniques | - |
dc.subject.keywordPlus | Random Linear Network Coding | - |
dc.subject.keywordPlus | Linear networks | - |
dc.subject.keywordAuthor | GPGPU | - |
dc.subject.keywordAuthor | Network Coding | - |
dc.subject.keywordAuthor | Parallel algorithm | - |
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